Online histostereometric analysis in forensic digital pathology



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BACKGROUND: A necessary element of forensic digital pathology is the quantitative analysis of images of histological, histochemical and immunohistochemical preparations. However, the inaccessibility of commercial analysis packages limits the scaling of the principles of digital pathology and, accordingly, methods of objective histological diagnostics in domestic forensic medical examination. This article offers an accessible online application that performs automated histostereometric analysis of scanned images of histological and immunohistochemical preparations, as well as digital images of their individual fields of view.

AIM: development of an online histostereometric image analysis tool for forensic digital pathology.

MATERIAL AND METHODS: The design of the study is the development of an online application compatible with Windows, Linux, Android and iOS operating systems, designed to highlight micro-objects with specified color properties in digital images and histostereometric analysis. The application code was compiled in the JavaScript programming language using the open OpenCV library.

RESULTS: The online application "Color Histostereometry Calculator" has been developed, designed to determine the specific volume and number of micro-objects with specified color characteristics in digital images of histological and immunohistochemical preparations. Using the HSV color model, which adjusts the ranges and minimum sizes of the areas to be considered, as well as the principle of identifying microobjects by their color properties rather than geometry, make it possible to exclude various image artifacts from analysis, segment layered microobjects, and evaluate the desired morphometric parameters for an infinitely thin slice, thereby eliminating the effect of slice thickness on morphometry results.

CONCLUSIONS: The developed online application is recommended for use in forensic medical practice when determining the prescription of death by cranioencephalic thermometry of a corpse.

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作者简介

Vladimir Nedugiv

Samara National Research University (Samara University

Email: nedugovvg@gmail.com
ORCID iD: 0009-0007-7542-7235
SPIN 代码: 2407-7937
Scopus 作者 ID: 58092580600

student of the Institute of Informatics and Cybernetics

俄罗斯联邦, 34, Moskovskoye shosse, Samara, 443086, Russia

Anna Zhukova

Samara National Research University (Samara University)

Email: anna.zhuk.dreamer@yandex.ru
ORCID iD: 0009-0004-5237-7739

student of the Institute of Informatics and Cybernetics 

俄罗斯联邦, 34, Moskovskoye shosse, Samara, 443086, Russia

German Nedugov

Samara State Medical University

编辑信件的主要联系方式.
Email: nedugovh@mail.ru
ORCID iD: 0000-0002-7380-3766
SPIN 代码: 3828-8091

PhD, Associate professor, the Head of the Department of forensic medicine of Samara State Medical University

俄罗斯联邦, 89, Chapaevskaya st., Samara, Russia, 443099

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