Name: an analytical tool that quantifies cellular morphology changes from three-dimensional fluorescence images
Uploaded: 2012-08-31T13:00:00
Description: Watch this Scientific Journal Video about An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images at JoVE.com

نشكر مركز التنمية التصوير البيولوجي (BIDC) جامعة كاليفورنيا في سان فرانسيسكو لاستخدام Imaris، XT Imaris ومطلب. نشكر V. Kharazia للمساعدة التقنية وAT هنري، LK Floren، L. Daitch لمساهماتها في التحرير من المخطوطة. وأيد هذا العمل من خلال تمويل من الدولة للأبحاث الطبية في كاليفورنيا الإسراف في تناول الكحول والمخدرات من خلال UCSF لSEB، والمعاهد الوطنية للصحة: ​​1R21DA029966 NIH-01 وجائزة المسار السريع لفحص جمع MLSMR لUCSF SEB مدرسة، الصيدلة ( مكتب العميد والصيدلة الإكلينيكية) وكلية الطب (علم الأدوية السريري والعلاج التجريبي) لCLHK.

1. تحليل ثلاثي الأبعاد من المظهرية وحيدة الخلية التغييرات المظهرية <ol style=";text-align:right;direction:rtl"><li style=";text-align:right;direction:rtl"> وتقاس الكلى الجنينية البشرية (HEK293) مع خلايا هيماغلوتينين (HA)-الموسومة كورتيكوتروبين الإفراج عن عامل مستقبلات-2 (CRF-R2)، وهو بروتين G-يقترن مستقبلات (GPCR) ك?...

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	<li>West, M. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Design-based+stereological+methods+for+counting+neurons.">Design-based stereological methods for counting neurons.</a> Prog, Brain Res. 135, 43-51 (2002).</li><li>Burke, M., Zangenehpour, S., Mouton, P. R., Ptito, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Knowing+what+counts:+unbiased+stereology+in+the+non-human+primate+brain.">Knowing what counts: unbiased stereology in the non-human primate brain.</a> J. Vis. Exp. (27), e1262 (2009).</li><li>Sugawara, Y., Ando, R., Kamioka, H., Ishihara, Y., Honjo, T., Kawanabe, N., Kurosaka, H., Takano-Yamamoto, T., Yamashiro, T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+three-dimensional+morphometry+and+cell-cell+communication+of+the+osteocyte+network+in+chick+and+mouse+embryonic+calvaria.">The three-dimensional morphometry and cell-cell communication of the osteocyte network in chick and mouse embryonic calvaria.</a> Calcif. Tissue Int. 88, 416-424 (2011).</li><li>Vickery, R. G., von Zastrow, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Distinct+dynamin-dependent+and+-independent+mechanisms+target+structurally+homologous+dopamine+receptors+to+different+endocytic+membranes.">Distinct dynamin-dependent and -independent mechanisms target structurally homologous dopamine receptors to different endocytic membranes.</a> J. Cell Biol. 144, 31-43 (1999).</li><li>Bartlett, S. E., Enquist, J., Hopf, F. W., Lee, J. H., Gladher, F., Kharazia, V., Waldhoer, M., Mailliard, W. S., Armstrong, R., Bonci, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Dopamine+responsiveness+is+regulated+by+targeted+sorting+of+D2+receptors.">Dopamine responsiveness is regulated by targeted sorting of D2 receptors.</a> Pro.c Natl. Acad. Sci. U.S.A. 102, 11521-11526 (2005).</li><li>Gordon, A., Colman-Lerner, A., Chin, T. E., Benjamin, K. R., Yu, R. C., Brent, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Single-cell+quantification+of+molecules+and+rates+using+open-source+microscope-based+cytometry.">Single-cell quantification of molecules and rates using open-source microscope-based cytometry.</a> Nat. Methods. 4, 175-181 (2007).</li><li>Schock, F., Perrimon, N. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Molecular+mechanisms+of+epithelial+morphogenesis.">Molecular mechanisms of epithelial morphogenesis.</a> Annu. Rev. Cell Dev. Biol. 18, 463-493 (2002).</li><li>Pincus, Z., Theriot, J. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Comparison+of+quantitative+methods+for+cell-shape+analysis.">Comparison of quantitative methods for cell-shape analysis.</a> J. Microsc. 227, 140-156 (2007).</li><li>Spiller, D. G., Wood, C. D., Rand, D. A., White, M. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Measurement+of+single-cell+dynamics.">Measurement of single-cell dynamics.</a> Nature. 465, 736-745 (2010).</li><li>Loo, L. H., Wu, L. F., Altschuler, S. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Image-based+multivariate+profiling+of+drug+responses+from+single+cells.">Image-based multivariate profiling of drug responses from single cells.</a> Nat Methods. 4, 445-453 (2007).</li><li>Yarrow, J. C., Totsukawa, G., Charras, G. T., Mitchison, T. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Screening+for+cell+migration+inhibitors+via+automated+microscopy+reveals+a+Rho-kinase+inhibitor.">Screening for cell migration inhibitors via automated microscopy reveals a Rho-kinase inhibitor.</a> Chem. Biol. 12, 385-395 (2005).</li></ol>

أثبتنا أن يسببها العلاج CRF تغييرا كبيرا في التشكل وموقع CRF-R2. وقد تحول دون التغيير في CRF-R2 عن طريق العلاج خصم انتقائية. أثبتنا أن التعديلات لم يتم اكتشاف مستقبلات ويمكن أن لا تقاس باستخدام معيار تقنيات متعددة الأطياف 2D. القدرة على دراسة الصور 3D المعقدة أمر بالغ الأهمية ?...

<table border="1" style=";text-align:right;direction:rtl"><tbody><tr><td> اسم كاشف </td><td> شركة </td><td> كتالوج رقم </td><td> التعليقات (اختياري) </td></tr><tr><td> الجنينية البشرية الكلى (HEK293) </td><td> كوكتيل الأمريكية نوع الثقافة </td><td> CRL-1573 </td><td></td></tr><tr><td> Dulbecco في معدلة النسر متوسطة (DMEM) </td><td> إينفيتروجن </td><td> 11965118 </td><td></td></tr><tr><td> الجنين المصل البقري (FBS) </td><td> إينفيتروجن </td><td> SH30070.03 </td><td></td></tr><tr><td> AlexaFluor-488 (IgG2b) </td><td> إينفيتروجن </td><td> A-11001 </td><td></td></tr><tr><td> وحيدة النسيلة المضادة للHA.11 (مفتش 1) </td><td> كوفانس </td><td> 16B12 </td><td></td></tr><tr><td> دابي </td><td> ناقلات المختبرات </td><td> H-1200 </td><td>؛ </td></tr><tr><td> CRF </td><td> سيجما </td><td> C2917 </td><td></td></tr><tr><td> Antisauvagine-30 (AS-30) </td><td> سيجما </td><td> A4727 </td><td></td></tr></tbody></table>

an analytical tool that quantifies cellular morphology changes from three-dimensional fluorescence images

The most common software analysis tools available for measuring fluorescence images are for two-dimensional (2D) data that rely on manual settings for inclusion and exclusion of data points, and computer-aided pattern recognition to support the interpretation and findings of the analysis. It has become increasingly important to be able to measure fluorescence images constructed from three-dimensional (3D) datasets in order to be able to capture the complexity of cellular dynamics and understand the basis of cellular plasticity within biological systems. Sophisticated microscopy instruments have permitted the visualization of 3D fluorescence images through the acquisition of multispectral fluorescence images and powerful analytical software that reconstructs the images from confocal stacks that then provide a 3D representation of the collected 2D images. Advanced design-based stereology methods have progressed from the approximation and assumptions of the original model-based stereology1 even in complex tissue sections2. Despite these scientific advances in microscopy, a need remains for an automated analytic method that fully exploits the intrinsic 3D data to allow for the analysis and quantification of the complex changes in cell morphology, protein localization and receptor trafficking. 
Current techniques available to quantify fluorescence images include Meta-Morph (Molecular Devices, Sunnyvale, CA) and Image J (NIH) which provide manual analysis. Imaris (Andor Technology, Belfast, Northern Ireland) software provides the feature MeasurementPro, which allows the manual creation of measurement points that can be placed in a volume image or drawn on a series of 2D slices to create a 3D object. This method is useful for single-click point measurements to measure a line distance between two objects or to create a polygon that encloses a region of interest, but it is difficult to apply to complex cellular network structures. Filament Tracer (Andor) allows automatic detection of the 3D neuronal filament-like however, this module has been developed to measure defined structures such as neurons, which are comprised of dendrites, axons and spines (tree-like structure). This module has been ingeniously utilized to make morphological measurements to non-neuronal cells3, however, the output data provide information of an extended cellular network by using a software that depends on a defined cell shape rather than being an amorphous-shaped cellular model. To overcome the issue of analyzing amorphous-shaped cells and making the software more suitable to a biological application, Imaris developed Imaris Cell. This was a scientific project with the Eidgen&ouml;ssische Technische Hochschule, which has been developed to calculate the relationship between cells and organelles. While the software enables the detection of biological constraints, by forcing one nucleus per cell and using cell membranes to segment cells, it cannot be utilized to analyze fluorescence data that are not continuous because ideally it builds cell surface without void spaces. To our knowledge, at present no user-modifiable automated approach that provides morphometric information from 3D fluorescence images has been developed that achieves cellular spatial information of an undefined shape (Figure 1). 
We have developed an analytical platform using the Imaris core software module and Imaris XT interfaced to MATLAB (Mat Works, Inc.). These tools allow the 3D measurement of cells without a pre-defined shape and with inconsistent fluorescence network components. Furthermore, this method will allow researchers who have extended expertise in biological systems, but not familiarity to computer applications, to perform quantification of morphological changes in cell dynamics.

Watch this Scientific Journal Video about An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images at JoVE.com

An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images

وضعنا منصة البرمجيات التي تستخدم Imaris العلوم العصبية، وImarisXT MATLAB لقياس التغيرات في مورفولوجية شكل غير معروف مأخوذ من ثلاثي الأبعاد من الخلايا مبائر مضان واحد. ويمكن استخدام هذا النهج الجديد لقياس التغييرات في شكل الخلية بعد تفعيل مستقبلات وبالتالي يمثل أداة ممكنة إضافية لاكتشاف المخدرات.

أداة تحليلية يحدد مقدار التغييرات الخلوية الصرف من التقاط صور ثلاثية الأبعاد الإسفار

The most common software analysis tools available for measuring fluorescence images are for two-dimensional (2D) data that rely on manual settings for ...

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Biology

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التصنيع الدقيق للرقاقة الحجم السقالات لزراعة الخلايا ثلاثي الأبعاد

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أسلوب الإنتاجية العالية عالميا لدراسة مورفولوجية عضية في البيرة س.

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الحنق التصوير في الهلاميات المائية ثلاثية الأبعاد

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