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Flow Cytometry

Flow Cytometry

The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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Related Experiment Video

Updated: Jul 13, 2025

Analysis of Cell Suspensions Isolated from Solid Tissues by Spectral Flow Cytometry

Analysis of Cell Suspensions Isolated from Solid Tissues by Spectral Flow Cytometry

Published on: May 5, 2017

Scattering Inversion Study for Suspended Label-Free Lymphocytes with Complex Fine Structures.

Lu Zhang¹, Huijun Wang¹, Jianyi Liu²

¹Xi'an Jiaotong University, School of Mechanical Engineering, State Key Laboratory for Manufacturing Systems Engineering, Xi'an 710049, China.

|October 18, 2023

Summary

This summary is machine-generated.

This study introduces an inverse light scattering (ILS) method to measure lymphocyte volumes, aiding in pathological diagnosis. The technique accurately distinguishes malignant from normal cells without damaging samples.

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Last Updated: Jul 13, 2025

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Area of Science:

Biophysics
Pathology
Optical methods

Background:

Light scattering provides cell morphology information linked to biophysical states.
Understanding the relationship between complex cell structures and scattering characteristics is crucial for pathological analysis.

Purpose of the Study:

To develop and validate an inverse light scattering (ILS) method for label-free, quantitative analysis of suspended lymphocyte volumes.
To identify pathological states by distinguishing malignant from normal lymphocytes based on their morphology.

Main Methods:

Modeled clinical lymphocyte morphologies using Gaussian random sphere geometry and confocal scanning data.
Developed an ILS approach to quantitatively inverse the volumes of cell membranes and nuclei.
Investigated the specificity of ILS for complex structures, including surface roughness, posture, and refractive index.

Main Results:

Demonstrated a linear relationship between membrane/nucleus volumes and forward scattering image properties (effective area and entropy).
Achieved specificity deviations below 3.5% for the ILS method.
Validated the method with microspheres and clinical leukocytes, showing high Pearson product-moment correlation coefficients (PPMCC) up to 0.9926.

Conclusions:

The proposed ILS method effectively identifies suspended, label-free lymphocytes.
This technique offers a non-destructive approach for pathological examination without complex experimental setups.