This work was supported by the iNEXT-Discovery (Grant 871037) funded by Horizon 2020 program of the European Commission.

1. Preparing and loading a chip
NOTE: The process occurs within a humidity-controlled environment (Figure 1), typically between 80% and 90% or higher relative humidity, to prevent protein crystals from drying out. Once loaded and sealed, crystals can survive for upwards of 24 hours. However, this is can vary greatly between crystal systems. Within the chamber a low powered vacuum pump attached to a loading stage to hold a silicon chip (Figure 1), a silicon chip, a chip holder with polyester foil (Figure 2), a p200 pipette, 200 &#181;L pipette tips, tweezers, filter paper and the protein crystal slurry are required.
<ol>
	<li>Prepare a chip holder.
	<ol>
		<li>Cut two sheets of polyester foil into squares approximately 6 cm x 6 cm.</li>
		<li>Lay the polyester sheets over the two base plates (large and small).</li>
		<li>Fix the polyester sheets in place using the metal sealing rings.</li>
		<li>Carefully pull on the excess polyester foil to remove any creases to make visualizing and centering samples easier later.</li>
	</ol>
	</li>
	<li>Select a silicon chip with appropriately sized apertures (7-30 &#956;m) relative to the size of the crystals.</li>
	<li>Glow discharge the chip for 25 seconds at 0.39 mBar and using a current of 15 mA to enable easy spreading of micro crystals on the chip.</li>
	<li>Place the silicon chip on the chip loading stage using tweezers with the raised bars facing down.</li>
	<li>Apply 200 &#956;L of the micro-crystal slurry to the flat side of the chip using a pipette.</li>
	<li>Spread out the crystal slurry to cover all the &#34;city-blocks&#34; of the chip.</li>
	<li>If the chip is damaged, cover any holes with a small piece of polyester foil or filter pipette tip to ensure an even vacuum can be applied.</li>
	<li>Apply a gentle vacuum until all excess liquid has been sucked through the chip.</li>
	<li>Remove the chip from the chip loading stage with tweezers.</li>
	<li>Carefully blot the underside of the chip with filter paper to remove excess liquid.</li>
	<li>Place the loaded chip on the larger half of the chip holder between the guide marks flat side down.</li>
	<li>Seal the chip by placing the small half of the chip holder on top.
	<ol>
		<li>The two halves of the chip holder will snap into place. If the second half does not sit flush, spin the holder 180&#176; to properly align the magnets.</li>
	</ol>
	</li>
	<li>Screw the chip holder closed with hex bolts to fix the chip securely in place. 
	&#8203;NOTE: Alternatively, a &#34;chipless&#34; chip can be loaded in a similar fashion, with a smaller volume of crystal slurry (~15 &#181;L) sandwiched between the two layers of polyester foil in the chip holder 37, or a smaller volume can be loaded using a 50 &#181;m thick double-sided adhesive spacer applied directly to the polyester foil as described previously&#160;38. The use of adhesive spacers also allows multiple samples (or variants of samples such as ligand soaks) to be loaded on each chipless chip. A complementary loading approach exploiting acoustic drop ejection (ADE) to load silicon chips can also be used at Diamond39. ADE allows chips to be loaded using smaller volumes of crystal slurry than pipette loading. It is a particularly useful technique when samples are scarce, though the chemical composition and viscosity of the slurry must be taken into consideration.</li>
</ol>
2. GUI and setup at the beamline
<ol>
	<li>Perform all chip alignment and setup for data collection through a simple EPICS Display Manager (edm) graphical user interface (GUI) (Figure 3a). This provides a point-and-click interface to beamline instrumentation and provides input parameters for Python-based data collection. Sub windows provide additional control for collecting from sub regions of a sample holder (Figure 3b) or laser/LED pump-probe experiments (Figure 3c).</li>
</ol>
3. Aligning the chip
<ol>
	<li>Place the loaded chip on the XYZ stage at the beamline (shown in Figure 4a) using the kinematic mounts.
	<ol>
		<li>Take care to avoid pulling the stages along their direction of travel. The magnets in the kinematic mounts are quite strong so this can be done quite easily by accident.</li>
		<li>When approaching the mount, the chip holder should be held at a slight angle (&#177;30&#176;). When the magnets make contact allow the chip holder to rotate parallel to the floor&#160;(0&#176;) and the chip holder will click into place (Figure 4b).</li>
		<li>When unloading a chip follow a reverse path. Rotate and angle the chip away from the stages before pulling the chip holder away.</li>
	</ol>
	</li>
	<li>Using the beamline&#39;s on-axis viewing system and the chip alignment GUI, locate the top left fiducial of the chip. Fiducials are three squares, two small and one large, at right angles to one another (Figure 5a). The chip is back illuminated so the chip will appear dark with apertures as white squares.</li>
	<li>Center on fiducial zero in X, Y, and Z (Figure 5b). Align X and Y by moving left/right and up/down, respectively. Align Z by moving the chip in and out of focus.</li>
	<li>Click Set Fiducial Zero.</li>
	<li>Repeat step 3.2 for fiducial one (top right, Figure 5c) and fiducial two (bottom left, Figure 5d) to align all fiducials with the X-ray beam.</li>
	<li>Generate a co-ordinate matrix by pressing make co-ordinate system, this calculates the offset, pitch, roll, and yaw of the chip relative to the stages allowing all subsequent movements to be done in the chip co-ordinate frame.</li>
	<li>Click Block Check to move the XYZ stage to the first well of each city block for visual confirmation that the chip is well aligned.</li>
	<li>If the X-ray crosshair lines up with the apertures the chip is aligned. If not, repeat steps 3.2-3.3. 
	&#8203;NOTES: In case of difficulty aligning (broken fiducials), different apertures on the chip can be used for alignment using the &#34;alignment type&#34; pull-down menu. Many different types of chip are available for fixed target data collection. Different chip types are accommodated through use of the &#39;chip type&#39; pull-down menu. The most common chip types used at I24 are &#39;Oxford&#39; and &#39;custom&#39; chips. The number and the spacing of apertures and fiducials on the chip are read from a chip dictionary defined via the pull-down menu. Custom chip allows the aperture spacing to be defined on-the-fly, which is particularly useful for thin-film sheet-on-sheet or other &#39;chipless&#39; type chips where crystals are randomly located across the holder37. A new Python GUI, offering move-on-click functionality and automated chip alignment is currently under development, but is not yet ready for routine use at the time of the writing of this manuscript.</li>
</ol>
4. Setting up data collection
NOTE: Data collection setup will depend on the system being studied, and the experiment to be performed. This can range from the simplest SSX experiment, collecting a low dose structure, to a time-resolved experiment using lasers or rapid mixing to initiate a reaction which will require multiple complete datasets at different time delays. To set up a data collection the following parameters need to be defined.
<ol>
	<li>Experimental variables: Fill in the folder, filename, exposure time, transmission, detector distance, and number of shots per aperture in as appropriate.</li>
	<li>Chip type: As described above, match the chip type to the chip in use.
	<ol>
		<li>If a thin film or &#39;chipless&#39; chip is being used, then set the chip type to None.</li>
		<li>Define the number of steps and step size in both x and y in the GUI.</li>
	</ol>
	</li>
	<li>Set the map type: this allows subsections of a chip to be selected for data collection (Figure 3b). &#39;None&#39; means data are collected from every aperture on a chip. &#39;Lite&#39; means data are collected from selected city blocks on the chip (Figure 3b). This can be useful if, for example, a region of a chip is known to be poorly loaded or empty. &#39;Full&#39; allows individual apertures to be selected for data collection. In this case a correctly formatted text file must be provided.&#160;Details and a template can be obtained from beamline staff.</li>
	<li>Pump-probe: Select the type of pump probe experiment and the desired time delay. The triggering of the pump (usually a LED or laser) is often specific to a particular experiment, so will not be described in detail here.
	<ol>
		<li>&#39;Short&#39; delays refer to experiments when there is a dwell at each aperture between the pump and the probe (i.e., pump, probe, &#39;move to the next sample.) Delays are typically on the order of 1 second or tens of milliseconds.</li>
		<li>Long&#39; delays refer to an excite and visit again (EAVA) strategy, where apertures are visited twice, with a defined time delay between visits (i.e., pump, move, pump, move, probe, move, probe, etc.). The time delay is calculated and X-ray exposure times (Figure 3c) and it is typically ~1 second or more.</li>
	</ol>
	</li>
</ol>
5. Common data collection methods
NOTE: The following are the key parameters that define the type of experiment being carried out. This section assumes that the other settings from protocol 3 &#34;Setting up Data Collection&#34; have been defined.
<ol>
	<li>Scenario 1: Low-dose data collection. Collection of a single diffraction image from every selected aperture on the sample holder.
	<ol>
		<li>Set number of shots per aperture to 1.</li>
		<li>Set pump probe to None.</li>
	</ol>
	</li>
	<li>Scenario 2: A dose series, collecting n images sequentially from every selected aperture on the sample holder. The chip is stationary at each aperture while each set of n images is collected.
	<ol>
		<li>Set the number of shots per aperture to &#39;n&#39;. Note that processing is simplified if n=5, 10, 20 or another multiple of 10. It is difficult to establish trends if n &#60; 5. It is useful to consider the total time required to cover a chip and the number of image files produced when n is increased.</li>
		<li>Set pump probe to None.</li>
	</ol>
	</li>
	<li>Scenario 3: Pump-probe methods
	<ol>
		<li>Select a method from the Pump Probe pull-down menu to open the Laser Excitation Control Centre.</li>
		<li>For a pump probe experiment fill in the Laser Dwell at each aperture option.</li>
		<li>For EAVA fill in the Laser Dwell at each aperture and X-ray exposure and click Calculate.</li>
		<li>Select the appropriate Repeat option in the edm GUI pump probe drop-down menu for the desired delay time.</li>
		<li>If the experiment requires a pre-illumination step fill in the Laser 2 Dwell section.</li>
		<li>After all experimental variables are defined press Set parameters and create short list. This loads experimental variables onto the geobrick controller. After this is done pressing Start will move the detector in, the backlight out, and start data collection. At all points in setting up data collection it is useful to have a terminal window open where feedback on the status and outcome of each of the steps is printed.</li>
	</ol>
	</li>
</ol>
6. Data processing
NOTE: Broadly speaking data processing can be divided into three groups based on the urgency with which feedback is required. Fast feedback is required to show if crystals are present and diffract, and if so, in what numbers. This should keep up with data collection. Performing data indexing and integration which can be slower but should still be performed on comparable time scales with data collection. Merging and scaling of reflection intensities into an mtz file for structure solution and the generation of electron density maps represents the final step and can be slower still. Here starting pipelines at I24 for the first two stages only will be discussed, as they are required for real-time feedback to guide your experiment, though note that metrics such as hit-rates and scaling statistics are not a substitute for inspecting electron density, which may provide the only confirmation that a ligand has bound, or a reaction occurred, in crystallo.
<ol>
	<li>Fast feedback
	<ol>
		<li>To load the data processing modules type module load i24-ssx into the terminal on any beamline workstation.</li>
		<li>To run the hit-finding analysis type i24-ssx /path/to/visit/directory/ into the terminal: i24-ssx /dls/i24/data/2020/mx12345-6/ 
		NOTE: This opens three terminal windows and, once data has been written to disk, a graphical representation of spot finding results from Diffraction Integration for Advanced Light Sources (DIALS) 40,41(Figure 6a).
		<ol>
			<li>Default settings scores every 10th image and refreshes every few seconds to minimise the computational load.</li>
			<li>Change the default by adding an argument to the end of the command above. For example, &#39;i24-ssx /dls/i24/data/2020/mx12345-6 2&#39; i24-ssx would run hit finding on every other image. However, this can put undue strain on the cluster (a shared resource!) and slow down processing times. The graph is color coded based on the likelihood of successful indexing, red shows at least 15 Bragg spots have been found (good chance of indexing), blue shows little to no useful diffraction.</li>
			<li>View diffraction images of interest in the DIALS image viewer by clicking on the spots on the spot finder interface.</li>
		</ol>
		</li>
	</ol>
	</li>
	<li>Indexing and integration feedback 
	NOTE: Indexing and integration of diffraction data are performed with DIALS using the dials.still_process function 40,41. As such, specific information relating to your crystal (expected crystal space group, unit cell, and an experiment geometry) should be put into a .phil text file.
	<ol>
		<li>Load DIALS modules by typing module load dials in a terminal.</li>
		<li>To begin processing a dataset type dials.still_process /path/to/images/ /pathto/phil- file.phil. The progress of all still processing datasets can be monitored by running the stills_monitor script by typing monitor_stills_process.py (after performing module load i24-ssx and changing directory to the current visit) (Figure 6b).</li>
		<li>The unit cell distribution of indexed diffraction data (Figure 7a) can be monitored using the command ctbx.xfel.plot_uc_cloud_from_experiments/path/to/dials/output/*refined.expt combine_all_input=true This is particularly useful to identify and resolve unit cell polymorphs as discussed previously&#160;42.</li>
		<li>&#39;Visualzie&#39; if, and how, this distribution varies across a fixed target by producing a 2D plot (Figure 7b) using the command python pacman.py /visit/processing/_hit_finding/chip.out.</li>
		<li>Produce stereographic projections of all indexed diffraction data (Figure 7c) using the DIALS command dials.stereographic_projection hkl= 0,0,1 expand_to_P 1 =True /path/to/dials/output/*refined.expt. 
		NOTE: It is a common pathology when processing stills data from crystals where the symmetry of the Bravais lattice is higher than the space group symmetry that merged data appear as a perfect twin. Data processing algorithms have evolved to resolve this pathology 43,44,45,46&#160;but users should be mindful of this while processing their data.</li>
	</ol>
	</li>
</ol>

Serial synchrotron data collection is a relatively new technique at MX beamlines, bridging the gap between the ultra-fast data collections currently being performed at XFELs and traditional synchrotron-based MX. This manuscript aims to give an overview of how to successfully collect fixed target serial data at beamline I24, Diamond Light Source for low dose, dose series, and time-resolved experiments. As with standard crystallography, sample preparation is a major bottle neck in structure solution. SSX is no different, and preparation of a homogenous crystal slurry in sufficient quantities has not yet benefited from several decades of study and refinement like the growth of single large protein crystals has. However, preparation of these slurries is outside the scope of this paper and has been summarized elsewhere36. The critical step in the approach described here involves the careful use of the available sample using easy to use GUI interfaces (step 3) and automated data processing pipelines (step 6) to inform the chip loading (step 1) and how an experiment should proceed.
The fast feedback pipeline is a powerful tool that allows users to assess initial hit rates during data collection to inform subsequent chip loading protocols for successful data collection. When faced with a low hit rate (&#60;5%), users risk collecting incomplete data and/or wasting beamtime with additional collections. In this case, sample could be pooled, concentrated by gentle centrifugation, and/or larger volumes could be loaded in step 1.5. A higher hit rate is generally favorable, however, there is a point of diminishing return where overloading leads to multiple crystals in the same well. DIALS is capable of dealing with multi-lattice diffraction data50, but a greater concern than indexing and integration is the detrimental effect crystal grouping can have on the even activation of crystals by laser light or rapid mixing for precise time resolved experiments. Particular care&#160;should therefore be taken to avoid overloading fixed targets for time resolved experiments.
The indexing and integration processing step produces a plot with the central cross representing the beam direction, each point representing the direction of the hkl 001 reflection of individual lattices, and the outer ring of the circle representing a rotation of 90&#176; away from the beam axis. This will show if your crystals have a preferred orientation, which may impact data completeness and indicate the need to collect more data or vary the loading protocol. In the left-hand panel of Figure 7c, the effect of overloading a chip with HEWL crystals is shown. As apertures fill with more crystals, they stick to the angled walls of the apertures rather than wedging at the base in a random orientation. The two orthogonal ellipses are a result of crystals lying on the internal walls of the chip which are at ~35&#176; to the beam direction. This reduces the volume of crystals loaded, reduces the hit rate, and dramatically reduces the fraction of crystals lying in these preferred planes.
It should be noted that other serial approaches are available at I24, such as LCP extruders and microfluidic chips. These use similar GUIs and the same processing pipelines so much of the above will remain applicable even if a different technique is used. A number of serial approaches exist for both SSX and SFX beyond the fixed target approach described here, each has certain advantages over the other depending on the experiment to be performed and the beamline used for the experiment. As serial approaches are evolving rapidly it is advisable to check the beamline webpages (https://www.diamond.ac.uk/Instruments/Mx/I24.html) for recent updates and talk to beamline staff at as early a stage as possible when planning beamtime. Access to I24 for standard and serial experiments is free at point of use. For UK and EU users travel and accommodation costs are partly covered through iNEXT Discovery.

Serial synchrotron crystallography (SSX) is an emerging method of data collection which was inspired by X-ray free electron lasers (XFEL)1,2,3. At an XFEL, a single diffraction pattern is recorded from a usually very small&#160;protein crystal, before the crystal is destroyed by the extremely bright X-ray pulse. This means, typically, that a new crystal must be introduced into the X-ray beam to obtain another diffraction pattern4. This need to continually replenish crystals has driven the development of many serial sample delivery techniques5.
At synchrotrons, classic (non-serial) rotation crystallography methods are widely applied, exploiting a single large crystal which is rotated in an X-ray beam using a goniometer to collect a complete dataset for structure solution6. In order to increase the lifetime of crystals so that a complete dataset can be collected7,8, and also to facilitate shipping and automated sample transfer, crystals are cryocooled to ~100 K for data collection. At intense microfocus beamlines, multi-crystal strategies are frequently employed as radiation damage can prohibit the collection of a complete dataset from a single crystal9,10,11. Despite the limits imposed by radiation damage, the number of crystals used remains relatively modest and the approach used is essentially identical to the single crystal experiment.
SSX, on the other hand, uses serial sample delivery to obtain single still diffraction patterns from thousands of randomly orientated crystals to generate a complete dataset. It is noted that serial techniques incorporating crystal rotation are under development12,13&#160;though we focus on still, zero rotation, approaches. There are a wide variety of sample delivery systems with different advantages and disadvantages14, ranging from delivering a stream of crystals in a flow focused/viscous jet15,16,17, microfluidic chip18,19, or crystals on a fixed target such as an etched silicon chip20,21. Typically, crystals are held at room temperature, allowing greater conformational diversity to be observed and providing a more physiologically relevant environment22. SSX enables the collection of very low dose datasets23, as the total dose of the dataset is equivalent to a single short X-ray exposure of one crystal. Another major advantage SSX provides is the study of protein dynamics through time-resolved methods, with reactions triggered by exposure to laser light24,25,26,27or by mixing of crystals and ligand/substrate28,29. Using smaller crystals means laser light can penetrate the entirety of the crystal, uniformly initiating the reaction without multiphoton absorption to provide well defined reaction intermediates for diffraction data taken at different time points27. Use of larger crystals and rotation-based data collection methods suffers from a limited laser penetration depth, nonuniform or multiphoton activation, radiation damage, and mechanical overhead time within data sweeps, resulting in a mix of reaction intermediates that can prove difficult or impossible to interpret at faster reaction speeds. Smaller crystals provide a similar advantage in mixing experiments, as ligands can rapidly and more uniformly diffuse throughout the crystal, again allowing defined reaction intermediates to be recorded at different time delays30,31,32.
At Diamond&#39;s microfocus beamline I24 both conventional rotation and SSX experiments can be performed. Here a comprehensive protocol for SSX sample preparation and data collection using fixed targets at I24 and protocols for data analysis of serial data at Diamond are presented. While the manuscript and accompanying videos should allow users to carry out a successful SSX experiment at I24, it should be noted that this is a rapidly developing field and approaches are continually evolving. It should also be noted that serial methods are available at other synchrotron sources, including but not limited to Petra III (P14-TREXX), MAX IV (BioMAX)33, SLS (PXI and PXII)34, and NSLS (FMX)35. While the the specifics of serial data collection and processing will differ between sources,&#160;the core principles will remain the same. The protocols below should be seen to represent a starting point and a pathway to base camp rather than the summit of what might be achieved.
This protocol assumes the users have a protein or small molecule crystal system, from which a microcrystal slurry on the order of 0.5-2.0 mL with a good density of microcrystals per mL has been produced. Protocols for obtaining crystal slurries have been&#160;described previously&#160;36. Many different types of fixed target are available, the most commonly used at I24 utilize a precisely defined silicon chip. In order to differentiate from other chip layouts, below and in the beamline interface this is referred to as an &#39;Oxford chip&#39;. As previously described the Oxford chip layout comprises 8&#215;8 &#39;city blocks&#39;, each containing 20&#215;20 apertures for a total of 25,600 apertures20,21.

<table><tbody><tr><td>Chip Holders</td><td>Custom Built</td><td>N/A</td><td>In-house custom built metallic chip holders consisting of 2 magnetic base plates, 2 metal rings, and a kinematic mount.</td></tr><tr><td>Chipless Chip Spacers</td><td>SWISCII</td><td>N/A</td><td>LCP adhesive sheets available as part of the LCP modular range</td></tr><tr><td>Geobrick LV-IMS-II</td><td>Delta Tau</td><td>N/A</td><td>A&amp;nbsp;multi-axis controller/amplifier with a custom Diamond Light Source hardware configuration</td></tr><tr><td>Kinematic Mounts</td><td>ThorLabs</td><td>KB25/M</td><td>Square bases with 3 magnets arranged in a triangle affixed to chip holders.</td></tr><tr><td>KNF Laboport Vacuum Pump</td><td>Merck</td><td>Z262285-1EA</td><td>Solid PTFE vauum pump, 10 l/min pumping speed.</td></tr><tr><td>Mylar Sheets 6 &amp;micro;m</td><td>Fisher Scientific</td><td>15360562</td><td>300 ft roll of 6 &amp;micro;m thick mylar XRF film by SPEX SamplePrep</td></tr><tr><td>Mylar Sheets 3 &amp;micro;m</td><td>Fisher Scientific</td><td>04-675-4</td><td>300 ft roll of 3 &amp;micro;m thick mylar XRF film by SPEX SamplePrep</td></tr><tr><td>Pelco easiGlow Glow Discharge System</td><td>Ted Pella, INC.</td><td>91000</td><td>A compact stand alone glow discharge system used to produce hydrophillic surfaces</td></tr><tr><td>Silicon Chips</td><td>University of Southampton</td><td>N/A</td><td>Custom etched silicon chips with 25,6000 apertures available in a variety of sizes.</td></tr><tr><td>Translation Stages</td><td>Smaract</td><td>N/A</td><td>XYZ sample stages are a collaborative design by Diamond Light Source and SmarAct, custom-built by SmarAct using three linear translation 50mm travel stages, precise crossed roller guideways, and an integrated sensor with up to 1 nm resolution</td></tr><tr><td>1byOne Humidifier (701UK-0003 )</td><td>1byOne</td><td>B01DENO0EQ</td><td>Commercially available 1.3 Litre ultrasonic humidifier</td></tr></tbody></table>

fixed target serial data collection at diamond light source

Serial data collection is a relatively new technique for synchrotron users. A user manual for fixed target data collection at I24, Diamond Light Source is presented with detailed step-by-step instructions, figures, and videos for smooth data collection.

Low Dose Data Collection and Series 
Low dose (Step 5.1: Scenario 1) and dose series (Step 5.2: Scenario 2) data were collected on copper nitrite reductase micro crystals at I24 and have been published previously&#160;42. All samples were prepared as described in step 1, data collected as per steps 3, 4, and 5, and processed using methods in step 6. In this work a rapid dose series was collected with 20 diffraction images taken at each aperture (i.e., n=20 in the data collection GUI shown above) before moving to a fresh sample. From these data a bimodal distribution of unit cells in space group P213 was identified (a = b = c = 97.25 &#197;, and a = b = c = 96.38 &#197;). Identifying and separating these unit-cell polymorphs for processing showed a marked improvement in data quality indicators and revealed two different structures in a flexible loop between residues 189-193 instead of the mixed state observed when processing all data together. Identification of such polymorphs could make all the difference in a delicate time-resolved structural study where only small structural changes are expected. Furthermore, the dose series collected revealed a dose dependent unit cell change in the crystal, with increased dose shifting the population in favor of the larger unit-cell.
Similar work was performed by Ebrahim et al (2019)47, where a dose series (Step 5.2: Scenario 2) was collected from a dye-type heme peroxidase from Streptomyces lividans (DtpAa) to compare low dose structures from SSX (Step 5.1: Scenario 1) with those measured in the same fixed target system using SFX. SFX data were collected at SACLA Beamline BL2 EH3 with a pulse length of 10 femtoseconds and a repetition rate of 30 Hz. The 10 femtosecond pulse duration ensures that dose dependent effects are not present in the SFX data. SFX data were compared to SSX data collected on beamline I24, where 10 sequential 10 millisecond exposures were measured at each sample position (i.e., n=10). The dose dependent migration of a heme iron coordinated water molecule away from the iron was observed, as well as a conformational change in one of the heme propionate groups in the SSX dose series. Although not damage-free like the SFX structure, the dose series allowed the Fe-O&#160;bond length of a zero-dose dataset (ferric heme) to be extrapolated, with this agreeing within experimental error with the value obtained from SFX.
The serial crystallography data collection methods described here can also be easily adapted to provide new sample environments to, for example, study anaerobic protein structures at room temperature. As outlined in Rabe et al 2020&#160;48, loading a &#39;sheet-on-sheet&#39; sample, or &#39;chipless chip&#39;, with different sealing films in an anerobic chamber enables room temperature collection of structural data from dioxygen-sensitive samples.
Pump Probe 
Although the following representative results were not collected at Diamond Beamline I24, these methods have been developed in close collaboration between facilities in the iNEXT program to work towards standard methods in serial crystallography method development. Beamline I24 offers, or will soon offer, equivalent collection methods to those described below&#160;to perform such experiments using the methods described in the protocols above.
Pump Probe: Rapid Mixing 
Rapid mixing SSX has been performed at beamline T-REXX at PETRA III by Mehrabi et al (2019)&#160;28&#160;using a piezo driven droplet injector to initiate reactions on fixed targets. This work presents a proof of principle on chip mixing experiment binding GlcNac3to lysozyme microcrystals, with binding occurring within 50 ms of a 75 pL drop being applied to the sample. This study was followed up with a 7-structure time-resolved series of xylose isomerase activity, demonstrating glucose binding within 15 ms and the formation of an open ring conformation in the glucose molecule after a 60 second time delay. An equivalent setup for droplet injection is currently under development for use on I24.
Pump-Probe: Light Activation 
A light activated pump-probe serial experiment is presented in Schulz et al (2018)&#160;49. Fluoroacetate dehydrogenase was soaked with photocaged fluoroacetate and pumped with 320-360 nm laser light to produce structures at 4 time points (t=0, 30, 752, and 2,052 ms). The resting state structure (0 ms) shows an empty active site, with the exception of a few water molecules, and equivalent density between the cap domains of both protein subunits. 30 ms and 752 ms after light activation a significant reduction in electron density can be observed in the cap domain of subunit B relative to subunit A. The reduction in electron density in the cap domain of subunit B coincides with the appearance of fluoroacetate in the active site of subunit A at 752 ms. The final dataset at 2,052 ms shows further structural rearrangement of the ligand, suspected to facilitate the correct geometry for SN2 attack, and potential formation of an intermediate state in the reaction. On I24, a portable Pharos laser system which is tunable from 210-2500 nm providing femtosecond pulses can be used for light-activation. Initial experiments showed the successful activation of a photocage using 308 nm excitation with binding of the released ligand to the target protein observed. At the time of writing integration into the beamline personnel safety system is ongoing and routine user experiments are anticipated in early 2021. For experiments when less intense pulses of light are required, light-activation with TTL controlled LEDs has been performed successfully.
<img alt="Figure 1" class="xfigimg" src="/files/ftp_upload/62200/62200fig01.jpg" /> 
Figure 1: Sample loading equipment in place at Diamond Light Source. The set-up&#160;consists of a vacuum pump (a), glove-box (b), and humidifier (c). Within the glove-box vacuum pressure is used to act on a chip loaded with crystal slurry held in a sample block (d) attached to a Bu&#776;chner flask (e, green arrow), via a pressure regulator (f, yellow arrow) attached to a stopcock (g, blue arrow). Humid air is pumped into the tent via plastic tubing attached to the humidifier (h), and measured using a hygrometer (i). Components are held in place using clamp stands (j). <a href="https://www.jove.com/files/ftp_upload/62200/62200fig01large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 2" class="xfigimg" src="/files/ftp_upload/62200/62200fig02.jpg" /> 
Figure 2: Sample holders. They utilize a metal O-ring (a) to clamp polyester film onto a top (b) and bottom (c) half, with the bottom half sporting magnetic mounts (d) that are used to attach the sample holder to the sample stages. The polyester film (6 &#181;m (e) or 3 &#181;m (f)) as well as rubber O-rings (white arrows) prevent a crystal-loaded chip from drying rapidly in a sample holder which is closed tight with hex bolts (g). Chips are cleaned using sequential 15-minute baths in dH2O, 1 M HCl, and dH2O (h). <a href="https://www.jove.com/files/ftp_upload/62200/62200fig02large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 3" class="xfigimg" src="/files/ftp_upload/62200/62200fig03.jpg" /> 
Figure 3: Data collection GUI for fixed target data collection at I24. (a) Shows the main interface used for aligning chips and defining data collection parameters, (b) is the mapping lite interface used for defining sub-regions of a chip for data collection and (c) is an interface for defining parameters for laser illumination. <a href="https://www.jove.com/files/ftp_upload/62200/62200fig03large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 4" class="xfigimg" src="/files/ftp_upload/62200/62200fig04.jpg" /> 
Figure 4: The process of mounting a chip holder onto the stages as described in Step 3, point 1. <a href="https://www.jove.com/files/ftp_upload/62200/62200fig04large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 5" class="xfigimg" src="/files/ftp_upload/62200/62200fig05.jpg" /> 
Figure 5: Chip alignment. A chip is aligned by clicking on three fiducial markers on the chip shown in (a). Views of fiducials 0, 1 and 2 through the beamline on-axis viewing system are shown in (b), (c) and (d). <a href="https://www.jove.com/files/ftp_upload/62200/62200fig05large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 6" class="xfigimg" src="/files/ftp_upload/62200/62200fig06.jpg" /> 
Figure 6: Auto-processing results displays launched as described in step 6.1. An updating hit-rate plot is displayed (a, inset). If a &#39;hit&#39; is clicked on the corresponding diffraction image is displayed in dials image viewer. The hit-rate for the current data collection is shown (29.6% in this example). Panel (b) shows an example of a window showing current indexing and integration rates for data collected so far during the visit that updates in real time. <a href="https://www.jove.com/files/ftp_upload/62200/62200fig06large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 7" class="xfigimg" src="/files/ftp_upload/62200/62200fig07.jpg" /> 
Figure 7: More in-depth data analysis. Visualization of unit cell parameters can reveal polymorphs (a). Average unit cell parameters are calculated; however, this does not yet extend to individual averages for polymorphs. Visualization of a small subset of data (data shown are a subset of 793 copper nitrite reductase crystals from the data described in Ebrahim et al&#160;2019) is often sufficient to reveal trends. 2-D plots of useful parameters can also be produced to reveal variations that arise due to loading or dehydration effects that could be addressed for upcoming data collections (b). Stereographic projections can reveal the presence, or absence, preferred orientations feeding back into the loading protocol (c). <a href="https://www.jove.com/files/ftp_upload/62200/62200fig07large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>

Watch this Scientific Journal Video about Fixed Target Serial Data Collection at Diamond Light Source at JoVE.com

Fixed Target Serial Data Collection at Diamond Light Source

We present a comprehensive guide to fixed target sample preparation, data collection, and data processing for serial synchrotron crystallography at Diamond beamline I24.

Serial data collection is a relatively new technique for synchrotron users. A user manual for fixed target data collection at I24, Diamond Light Source is ...

fixed-target-serial-data-collection-at-diamond-light-source

Research

JoVE Journal

Biochemistry

3.2K Views.  Diamond Light Source, Harwell Science and Innovation Campus. We present a comprehensive guide to fixed target sample preparation, data collection, and data processing for serial synchrotron crystallography at Diamond beamline I24. 

Video: Fixed Target Serial Data Collection at Diamond Light Source

Biochemical and Structural Characterization of the Carbohydrate Transport Substrate-binding-protein SP0092

Development of new antimicrobials and vaccines for Streptococcus pneumoniae (pneumococcus) are necessary to halt the rapid rise in multiple resistant strains. Carbohydrate substrate binding proteins (SBPs) represent viable targets for the development of protein-based vaccines and new antimicrobials because of their extracellular localization and the centrality of carbohydrate import for pneumococcal metabolism, respectively. Described here is a rationalized integrated protocol to carry out a comprehensive characterization of SP0092, which can be extended to other carbohydrate SBPs from the pneumococcus and other bacteria. This procedure can aid the structure-based design of inhibitors for this class of proteins. Presented in the first part of this manuscript are protocols for biochemical analysis by thermal shift assay, multi angle light scattering (MALS), and size exclusion chromatography (SEC), which optimize the stability and homogeneity of the sample directed to crystallization trials and so enhance the probability of success. The second part of this procedure describes the characterization of the SBP crystals using a tunable wavelength anomalous diffraction synchrotron beamline, and data collection protocols for measuring data that can be used to resolve the crystallized protein structure.

A streamlined protocol for performing an extensive biochemical and structural characterization of a carbohydrate substrate binding protein from Streptococcus pneumoniae is presented.

Development of new antimicrobials and vaccines for Streptococcus pneumoniae (pneumococcus) are necessary to halt the rapid rise in multiple resistant ...

High Pressure Single Crystal Diffraction at PX^2

In this report we describe detailed procedures for carrying out single crystal X-ray diffraction experiments with a diamond anvil cell (DAC) at the GSECARS 13-BM-C beamline at the Advanced Photon Source. The DAC program at 13-BM-C is part of the Partnership for Extreme Xtallography (PX^2) project. BX-90 type DACs with conical-type diamond anvils and backing plates are recommended for these experiments. The sample chamber should be loaded with noble gas to maintain a hydrostatic pressure environment. The sample is aligned to the rotation center of the diffraction goniometer. The MARCCD area detector is calibrated with a powder diffraction pattern from LaB6. The sample diffraction peaks are analyzed with the ATREX software program, and are then indexed with the RSV software program. RSV is used to refine the UB matrix of the single crystal, and with this information and the peak prediction function, more diffraction peaks can be located. Representative single crystal diffraction data from an omphacite (Ca0.51Na0.48)(Mg0.44Al0.44Fe2+0.14Fe3+0.02)Si2O6 sample were collected. Analysis of the data gave a monoclinic lattice with P2/n space group at 0.35 GPa, and the lattice parameters were found to be: a = 9.496 &#177;0.006 &#197;, b = 8.761 &#177;0.004 &#197;, c = 5.248 &#177;0.001 &#197;, &#946; = 105.06 &#177;0.03&#186;, &#945; = &#947; = 90&#186;.

In this report, we describe detailed procedures for carrying out single crystal X-ray diffraction experiments with a diamond anvil cell at the GSECARS 13-BM-C beamline at the Advanced Photon Source. ATREX and RSV programs are used to analyze the data.

In this report we describe detailed procedures for carrying out single crystal X-ray diffraction experiments with a diamond anvil cell (DAC) at the ...

Chemistry

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

High-brilliance X-ray beams coupled with automation have&#160;led to the use of synchrotron-based macromolecular X-ray crystallography (MX) beamlines for even the most challenging projects in structural biology. However, most facilities still require the presence of a scientist on site to perform the experiments. A new generation of automated beamlines dedicated to the fully automatic characterization of, and data collection from, crystals of biological macromolecules has recently been developed. These beamlines represent a new tool for structural biologists to screen the results of initial crystallization trials and/or the collection of large numbers of diffraction data sets, without users having to control the beamline themselves. Here we show how to set up an experiment for automatic screening and data collection, how an experiment is performed at the beamline, how the resulting data sets are processed, and how, when possible, the crystal structure of the biological macromolecule is solved.

Here, we describe how to use the automated screening and data collection options available at some synchrotron beamlines. Scientists send cryocooled samples to the synchrotron, and the diffraction properties are screened, the data sets are collected and processed and, where possible, a structure solution is carried out&#8212;all without human intervention.

High-brilliance X-ray beams coupled with automation have&#160;led to the use of synchrotron-based macromolecular X-ray crystallography (MX) beamlines for ...

Sample Preparation and Transfer Protocol for In-Vacuum Long-Wavelength Crystallography on Beamline I23 at Diamond Light Source

Long-wavelength macromolecular crystallography (MX) exploits the anomalous scattering properties of elements, such as sulfur, phosphorus, potassium, chlorine, or calcium, that are often natively present in macromolecules. This enables the direct structure solution of proteins and nucleic acids via experimental phasing without the need of additional labelling. To eliminate the significant air absorption of X-rays in this wavelength regime, these experiments are performed in a vacuum environment. Beamline I23 at Diamond Light Source, UK, is the first synchrotron instrument of its kind, designed and optimized for MX experiments in the long wavelength range towards 5 &#197;. 
To make this possible, a large vacuum vessel encloses all endstation components of the sample environment. The necessity to maintain samples at cryogenic temperatures during storage and data collection in vacuum requires the use of thermally conductive sample holders. This facilitates efficient heat removal to ensure sample cooling to approximately 50 K. The current protocol describes the procedures used for sample preparation and transfer of samples into vacuum on beamline I23. Ensuring uniformity in practices and methods already established within the macromolecular crystallography community, sample cooling to liquid nitrogen temperature can be performed in any laboratory setting equipped with standard MX tools. 
Cryogenic storage and transport of samples only require standard commercially available equipment. Specialized equipment is required for the transfer of cryogenically cooled crystals from liquid nitrogen into the vacuum endstation. Bespoke sample handling tools and a dedicated Cryogenic Transfer System (CTS) have been developed in house. Diffraction data collected on samples prepared using this protocol show excellent merging statistics, indicating that the quality of samples is unaltered during the procedure. This opens unique opportunities for in-vacuum MX in a wavelength range beyond standard synchrotron beamlines.

Here, we present a protocol for cryogenic sample preparation and transfer of crystals into the vacuum endstation on beamline I23 at Diamond Light Source, for long-wavelength macromolecular X-ray crystallography experiments.

Long-wavelength macromolecular crystallography (MX) exploits the anomalous scattering properties of elements, such as sulfur, phosphorus, potassium, ...

The Automated Crystallography Pipelines at the EMBL HTX Facility in Grenoble

EMBL Grenoble operates the High Throughput Crystallization Laboratory (HTX Lab), a large-scale user facility offering high throughput crystallography services to users worldwide. The HTX lab has a strong focus in the development of new methods in macromolecular crystallography. Through the combination of a high throughput crystallization platform, the CrystalDirect technology for fully automated crystal mounting and cryocooling and the CRIMS software we have developed fully automated pipelines for macromolecular crystallography that can be remotely operated over the internet. These include a protein-to-structure pipeline for the determination of new structures, a pipeline for the rapid characterization of protein-ligand complexes in support of medicinal chemistry, and a large-scale, automated fragment screening pipeline enabling evaluation of libraries of over 1000 fragments. Here we describe how to access and use these resources.

Here, we describe how to use the automated macromolecular crystallography pipelines for protein-to-structure, rapid ligand-protein complex analysis and large-scale fragment screening based on the CrystalDirect technology at the HTX Laboratory in EMBL Grenoble.

EMBL Grenoble operates the High Throughput Crystallization Laboratory (HTX Lab), a large-scale user facility offering high throughput crystallography ...

Achieving Efficient Fragment Screening at XChem Facility at Diamond Light Source

In fragment-based drug discovery, hundreds or often thousands of compounds smaller than ~300 Da are tested against the protein of interest to identify chemical entities that can be developed into potent drug candidates. Since the compounds are small, interactions are weak, and the screening method must therefore be highly sensitive; moreover, structural information tends to be crucial for elaborating these hits into lead-like compounds. Therefore, protein crystallography has always been a gold-standard technique, yet historically too challenging to find widespread use as a primary screen.
Initial XChem experiments were demonstrated in 2014 and then trialed with academic and industrial collaborators to validate the process. Since then, a large research effort and significant beamtime have streamlined sample preparation, developed a fragment library with rapid follow-up possibilities, automated and improved the capability of I04-1 beamline for unattended data collection, and implemented new tools for data management, analysis and hit identification.
XChem is now a facility for large-scale crystallographic fragment screening, supporting the entire crystals-to-deposition process, and accessible to academic and industrial users worldwide. The peer-reviewed academic user program has been actively developed since 2016, to accommodate projects from as broad a scientific scope as possible, including well-validated as well as exploratory projects. Academic access is allocated through biannual calls for peer-reviewed proposals, and proprietary work is arranged by Diamond's Industrial Liaison group. This workflow has already been routinely applied to over a hundred targets from diverse therapeutic areas, and effectively identifies weak binders (1%-30% hit rate), which both serve as high-quality starting points for compound design and provide extensive structural information on binding sites. The resilience of the process was demonstrated by continued screening of SARS-CoV-2 targets during the COVID-19 pandemic, including a 3-week turn-around for the main protease.

This paper describes the complete XChem process for crystal-based fragment screening, starting from applying for access and all subsequent steps to data dissemination.

In fragment-based drug discovery, hundreds or often thousands of compounds smaller than ~300 Da are tested against the protein of interest to identify ...

A Protocol for Real-time 3D Single Particle Tracking

Real-time three-dimensional single particle tracking (RT-3D-SPT) has the potential to shed light on fast, 3D processes in cellular systems. Although various RT-3D-SPT methods have been put forward in recent years, tracking high speed 3D diffusing particles at low photon count rates remains a challenge. Moreover, RT-3D-SPT setups are generally complex and difficult to implement, limiting their widespread application to biological problems. This protocol presents a RT-3D-SPT system named 3D Dynamic Photon Localization Tracking (3D-DyPLoT), which can track particles with high diffusive speed (up to 20 &#181;m2/s) at low photon count rates (down to 10 kHz). 3D-DyPLoT employs a 2D electro-optic deflector (2D-EOD) and a tunable acoustic gradient (TAG) lens to drive a single focused laser spot dynamically in 3D. Combined with an optimized position estimation algorithm, 3D-DyPLoT can lock onto single particles with high tracking speed and high localization precision. Owing to the single excitation and single detection path layout, 3D-DyPLoT is robust and easy to set up. This protocol discusses how to build 3D-DyPLoT step by step. First, the optical layout is described. Next, the system is calibrated and optimized by raster scanning a 190 nm fluorescent bead with the piezoelectric nanopositioner. Finally, to demonstrate real-time 3D tracking ability, 110 nm fluorescent beads are tracked in water.

This protocol details the construction and operation of a real-time 3D single particle tracking microscope capable of tracking nanoscale fluorescent probes at high diffusive speeds and low photon count rates.

Real-time three-dimensional single particle tracking (RT-3D-SPT) has the potential to shed light on fast, 3D processes in cellular systems. Although ...

Bioengineering

Automated Protein Crystallization and Real-Time Data Collection

Crystallization and In Situ Room Temperature Data Collection Using the Crystallization Facility at Harwell and Beamline VMXi, Diamond Light Source

Protocols for robotic protein crystallization using the Crystallization Facility at Harwell and in situ room temperature data collection from crystallization plates at Diamond Light Source beamline VMXi are described. This approach enables high-quality room-temperature crystal structures to be determined from multiple crystals in a straightforward manner and provides very rapid feedback on the results of crystallization trials as well as enabling serial crystallography. The value of room temperature structures in understanding protein structure, ligand binding, and dynamics is becoming increasingly recognized in the structural biology community. This pipeline is accessible to users from all over the world with several available modes of access. Crystallization experiments that are set up can be imaged and viewed remotely with crystals identified automatically using a machine learning tool. Data are measured in a queue-based system with up to 60&#176; rotation datasets from user-selected crystals in a plate. Data from all the crystals within a particular well or sample group are automatically merged using xia2.multiplex with the outputs straightforwardly accessed via a web browser interface.

Author Spotlight: Advancing Protein Structure Analysis for Drug Development 

We present a protocol for the crystallization of proteins using the crystallization facility in the Research Complex at Harwell and subsequent in situ X-ray crystallographic data collection from crystals within the plates at Diamond&#39;s Versatile Macromolecular Crystallography in situ (VMXi) beamline. We describe sample requirements, crystallization protocols, and data collection guidelines.

Protocols for robotic protein crystallization using the Crystallization Facility at Harwell and in situ room temperature data collection from ...

Light-Sheet Microscopy and Tissue Clearing for Comprehensive Cardiac Imaging

Light-Sheet Imaging to Reveal Cardiac Structure in Rodent Hearts

Light-sheet microscopy (LSM) plays a pivotal role in comprehending the intricate three-dimensional (3D) structure of the heart, providing crucial insights into fundamental cardiac physiology and pathologic responses. We hereby delve into the development and implementation of the LSM technique to elucidate the micro-architecture of the heart in mouse models. The methodology integrates a customized LSM system with tissue clearing techniques, mitigating light scattering within cardiac tissues for volumetric imaging. The combination of conventional LSM with image stitching and multiview deconvolution approaches allows for the capture of the entire heart. To address the inherent trade-off between axial resolution and field of view (FOV), we further introduce an axially swept light-sheet microscopy (ASLM) method to minimize out-of-focus light and uniformly illuminate the heart across the propagation direction. In the meanwhile, tissue clearing methods such as iDISCO enhance light penetration, facilitating the visualization of deep structures and ensuring a comprehensive examination of the myocardium throughout the entire heart. The combination of the proposed LSM and tissue clearing methods presents a promising platform for researchers in resolving cardiac structures in rodent hearts, holding great potential for the understanding of cardiac morphogenesis and remodeling.

Author Spotlight: Customized Light-Sheet Imaging for Investigating Myocardial Structures in Rodent Hearts

The protocol utilizes advanced light-sheet microscopy along with adapted tissue clearing methods to investigate intricate cardiac structures in rodent hearts, holding great potential for the understanding of cardiac morphogenesis and remodeling.

Light-sheet microscopy (LSM) plays a pivotal role in comprehending the intricate three-dimensional (3D) structure of the heart, providing crucial insights ...

Cryo-Structured Illumination Microscopic Data Collection from Cryogenically Preserved Cells

Three-dimensional (3D) structured illumination microscopy (SIM) allows imaging of fluorescently labelled cellular structures at higher resolution than conventional fluorescence microscopy. This super-resolution (SR) technique enables visualization of molecular processes in whole cells and has the potential to be used in conjunction with electron microscopy and X-ray tomography to correlate structural and functional information. A SIM microscope for cryogenically preserved samples (cryoSIM) has recently been commissioned at the correlative cryo-imaging beamline B24 at the UK synchrotron. 
It was designed specifically for 3D imaging of biological samples at cryogenic temperatures in a manner compatible with subsequent imaging of the same samples by X-ray microscopy methods such as cryo-soft X-ray tomography. This video article provides detailed methods and protocols for successful imaging using the cryoSIM. In addition to instructions on the operation of the cryoSIM microscope, recommendations have been included regarding the choice of samples, fluorophores, and parameter settings. The protocol is demonstrated in U2OS cell samples whose mitochondria and tubulin have been fluorescently labelled.

This protocol demonstrates how to image biological cryo-preserved samples using cryo-structured illumination microscopy. We demonstrate the methodology by imaging the cytoskeleton of U2OS cells.

Three-dimensional (3D) structured illumination microscopy (SIM) allows imaging of fluorescently labelled cellular structures at higher resolution than ...