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Image analysis of biological systems with microcomputers.

S S Mantripragada¹, V M Huynh, H B Fackrell

¹Department of Mechanical Engineering, University of Windsor, Ontario, Canada.

International Journal of Bio-Medical Computing

|November 1, 1990

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A new microcomputer system digitizes and analyzes biological images for identification and quantification. This versatile tool aids in tasks like DNA quantification in blood cells and hybridoma cell identification.

Area of Science:

Biotechnology
Image Analysis
Cell Biology

Background:

Accurate identification and quantification of biological specimens are crucial in various scientific fields.
Traditional methods can be time-consuming and may lack precision.

Purpose of the Study:

To develop a microcomputer-based system for acquiring and analyzing biological images.
To enable automated identification, classification, and quantification of biological samples.

Main Methods:

Utilized a video camera to capture images of biological samples, with or without microscopy.
Digitized camera signals using an imaging board for processing on a PC-XT.
Extracted key features like cell enclosed area and optical density from processed images.

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Main Results:

Successfully demonstrated the system's capability in quantifying DNA in blood cells.
Validated the system's effectiveness in identifying hybridoma cells.
The system provides a versatile platform adaptable to diverse biological applications.

Conclusions:

The developed microcomputer system offers an efficient and adaptable solution for biological image analysis.
The system facilitates accurate cell identification and quantification, with potential for broad application in life sciences.