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Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope
Published on: April 7, 2014
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A sheath-less combined optical and impedance micro-cytometer.
Daniel Spencer1, Gregor Elliott, Hywel Morgan
1Faculty of Physical Sciences and Engineering, and Institute for Life Sciences, University of Southampton, Southampton, Hampshire SO17 1BJ, UK. hm@ecs.soton.ac.uk.
Lab on a Chip
|June 27, 2014
Summary
A novel sheath-less micro-cytometer measures fluorescence, side scatter, and electrical impedance for cell analysis. This compact, low-cost device offers high accuracy and sensitivity for applications like CD4+ T-cell enumeration in human blood.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Cell Biology
Background:
- Classical cytometers are essential for cell analysis but are often large, complex, and expensive.
- There is a need for miniaturized, portable, and cost-effective cell analysis platforms.
Purpose of the Study:
- To develop and validate a sheath-less micro-cytometer capable of measuring multiple cellular parameters.
- To demonstrate the utility of this micro-cytometer for analyzing human blood and enumerating CD4+ T-cells.
Main Methods:
- The micro-cytometer integrates fluorescence, large angle side scatter, and dual-frequency electrical impedance (volume and opacity) measurements.
- Benchmarking was performed using size and fluorescent bead standards.
- The device was evaluated by analyzing human blood samples.
Main Results:
- The micro-cytometer demonstrated excellent size accuracy (CVs ≤ 2.1%), sensitivity, and a dynamic range of 3.5 orders of magnitude.
- Accurate CD4+ T-cell enumeration was achieved using a four-part differential leukocyte assay.
- The platform operates at sample flow rates of 80 μL per minute.
Conclusions:
- The integrated sheath-less micro-cytometer offers the core information content of classical cytometers in a compact, simple, portable, and low-cost format.
- This technology has potential for widespread application in cell analysis and diagnostics, particularly in resource-limited settings.

