Histopathology Image Analysis Tool: An Automated Platform for Quantitative H&E and Biomarker Assessment

Histopathology Image Analysis Tool: An Automated Platform for Quantitative H&E and Biomarker Assessment | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 19 November 2025 V1 Latest version Share on Histopathology Image Analysis Tool: An Automated Platform for Quantitative H&E and Biomarker Assessment Authors : Dr Pravin Badhe 0000-0001-8508-2241 [email protected] and Pravin Badhe Authors Info & Affiliations https://doi.org/10.22541/au.176357586.62687374/v1 165 views 93 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Histopathology remains a cornerstone of disease diagnosis, yet manual examination of tissue slides continues to face challenges related to time, subjectivity, and variability among pathologists. The complexity of interpreting H&E staining, nuclear morphology, and biomarker expression further increases the burden on clinical workflows. To address these limitations, the Histopathology Image Analysis Tool has been developed as an automated, web-based platform capable of quantifying tissue characteristics with high reproducibility. This tool performs image upload, cell detection, nuclear density calculation, and distance measurement, alongside specialized modules for H&E stain deconvolution and immunohistochemistry (IHC) biomarker scoring. Using pixel-level computations, it determines hematoxylin and eosin intensities, nuclear-to-cytoplasmic ratios, and biomarker expression patterns, including Allred and H-score metrics. The platform also incorporates standardized interpretation guides for ER/PR, HER2, and Ki-67 scoring. By integrating quantitative morphometric analysis with rule-based diagnostic interpretation, the tool accelerates tissue evaluation, supports research workflows, and improves reporting consistency. It represents a significant step toward automated digital pathology and enhances diagnostic precision across clinical and translational settings. Supplementary Material File (tool_histopathology image analysis.pdf) Download 542.33 KB Information & Authors Information Version history V1 Version 1 19 November 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords automated image analysis biomarker scoring computational morphology diagnostic pathology digital pathology h&e analysis histopathology immunohistochemistry nuclear density stain quantification Authors Affiliations Dr Pravin Badhe 0000-0001-8508-2241 [email protected] View all articles by this author Pravin Badhe North Point Business Park, Swalife Biotech Ltd, North Point House View all articles by this author Metrics & Citations Metrics Article Usage 165 views 93 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Dr Pravin Badhe, Pravin Badhe. Histopathology Image Analysis Tool: An Automated Platform for Quantitative H&E and Biomarker Assessment. Authorea . 19 November 2025. DOI: https://doi.org/10.22541/au.176357586.62687374/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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