eoe sub articles

EoE Sub Articles

1. Flow Cytometry and Sorting of Lymphocyte Subtypes
NOTE: Sorting lymphocytes depending on cell type is essential for establishing the ground-truth (i.e., correct) cell type labels to train and test a cell type classifier in supervised learning. Flow cytometry, a gold standard method, is used to identify and separate lymphocytes.
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	<li>Make a mixture of surface marker staining antibodies in 100 &#181;L of fresh RPMI-1640 medium [with 10% FBS, 0.1 &#181;g of CD3...

three-dimensional quantitative phase imaging for characterizing lymphocyte subtypes

Source: Yoon, J. et al. <a href="https://app.jove.com/v/58305">Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning.</a> J. Vis. Exp.&#160; (2018)
This video demonstrates label-free identification of lymphocyte morphology and biochemistry through 3D quantitative phase imaging. This technique allows for a thorough analysis of lymphocytes, uncovering their internal structures and properties without the need for labeling procedures.

Three-Dimensional Quantitative Phase Imaging for Characterizing Lymphocyte Subtypes

1. Flow Cytometry and Sorting of Lymphocyte Subtypes
NOTE: Sorting lymphocytes depending on cell type is essential for establishing the ground-truth ...

Load a lymphocyte subtype suspension into an imaging chamber.
Position the chamber on the 3D&#160; quantitative phase imaging microscope stage.
Adjust microscope parameters and the focal plane for optimum imaging.
During lymphocyte imaging, the laser beam splits into reference and sample beams.
The Digital Micromirror Device, featuring a micromirror array in the sample beam&#39;s path, allows the beam to rotate 360 degrees around the optical axis.
Each beam passing through the lymphocyte undergoes a phase shift based on refractive index variations within the cell.
The resulting sample and reference beams recombine, forming a 2D hologram.
A sequence of holograms containing phase and amplitude information from different angles is captured through the beam rotation around the lymphocyte.
Acquire multiple background holograms with varying illumination angles, excluding lymphocytes.
Using the diffraction tomography algorithm, reconstruct the holograms into a 3D refractive index tomogram, providing morphological and biochemical information of lymphocytes without the need for labeling.