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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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Updated: May 4, 2026

Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

Published on: November 17, 2016

A simplified method for assessing cytotechnologist workload.

Louis J Vaickus¹, Rosemary Tambouret

¹Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts.

Cancer Cytopathology

|January 16, 2014

Summary

This summary is machine-generated.

A new software tool simplifies cytotechnologist workload analysis, providing detailed data for better job performance and patient safety guidelines. It automates tasks, offering consistent screening times for Gyn and Non-Gyn cases.

Keywords:

automation computer cytotechnologist efficiency workload

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Area of Science:

Medical Technology
Laboratory Science
Health Informatics

Background:

Cytotechnologist workload significantly impacts job performance and patient safety.
Establishing guidelines for allowable workloads requires thorough analysis of cytotechnologist workflow.
Current analysis methods can be cumbersome and may lack data resolution.

Purpose of the Study:

To develop a software tool that simplifies the analysis of cytotechnologist workload.
To increase the quantity and resolution of data collected on cytotechnologist workflow.
To aid in establishing evidence-based guidelines for cytotechnologist workloads.

Main Methods:

Development of a software tool integrated with Microsoft Excel.
Automation of manual data entry and transcription tasks.
Minimization of user interaction for data collection.

Main Results:

Cytotechnologists demonstrated consistent screening times for both cervical cytology (Gyn) and nongynecologic cytology (Non-Gyn) cases.
Screening time per slide was similar for Gyn and Non-Gyn cases.
Increased time was observed in the afternoon for Non-Gyn cases, primarily due to prescreening activities like electronic medical record review.

Conclusions:

The Excel-based tool provides highly detailed and unobtrusive data collection.
The software is customizable to individual work environments and clinical settings.
This tool facilitates more accurate workload analysis, supporting improved operational efficiency and patient safety.