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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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Flow cytometric reticulocyte counting: a comparison between two methods.

M Maconi¹, P Danise, L Cavalca

¹Department of Laboratory Medicine, AO Arcispedale Santa Maria Nuova, Reggio Emilia, Italy. mariacaterina.maconi@asmn.re.it

Journal of Clinical Laboratory Analysis

|July 14, 2010

Summary

Automated reticulocyte counts offer improved accuracy over manual methods for assessing bone marrow activity. However, reference intervals vary between automated hematology analyzers like ADVIA2120 and Sysmex XE-2100.

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Area of Science:

Hematology
Clinical Laboratory Science

Background:

Peripheral reticulocyte count is a key indicator of bone marrow erythropoietic activity.
Manual reticulocyte counting suffers from significant inaccuracy and imprecision.
The need for automated methods is driven by the demand for reliable and reproducible results.

Purpose of the Study:

To evaluate the analytical performance of two automated hematology analyzers.
To compare the results of automated analyzers with each other and with manual counting.
To assess the agreement and correlation between different reticulocyte counting methods.

Main Methods:

A parallel study design was employed.
Two automated hematology analyzers (ADVIA2120 and Sysmex XE-2100) were compared.
Data were collected from 100 healthy subjects and 80 patients with hematological diseases.

Main Results:

Statistically significant differences were observed between the methods.
Reference intervals for ADVIA2120 were higher than those for Sysmex XE-2100.
Excellent and statistically significant correlations were found between the automated analyzers and with the microscopic method.

Conclusions:

Total automation of reticulocyte counts significantly improves upon microscopic counting.
Despite high correlations, diversity in reference intervals persists among new automated hematology analyzers.
Automated methods provide a more accurate and precise assessment of erythropoiesis.