Histological Image Analysis
Year: 2024
Type: article
Abstract: Histological image analysis is performed by examining tissue sections under a light (optical) or electron microscope, based on which manual or automated analysis can be conducted to detect diseased tissues. Image analysis involves the computer-assisted quantification of various measurement parameters. Typical measurement parameters include object count, linear measurement, area measurement, and relative color intensity. Image analysis has proven to be valuable in identifying and documenting the subtle induced changes in tissues. Compared to the less precise or more laborious “manual” quantification methods, image analysis has numerous potential advantages including improved objectivity and consistency, enhanced sensitivity, and shorter turnaround times, especially for projects where measurements can be automated. In addition, image analysis provides a permanent record of the data, produces results that are highly amenable to statistical analysis, and allows user to collect data that would otherwise be difficult or impossible to obtain.
Author: Cole, Hannah
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W6930737286
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