{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T11:26:19Z","timestamp":1768994779815,"version":"3.49.0"},"reference-count":24,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2022,9,14]],"date-time":"2022-09-14T00:00:00Z","timestamp":1663113600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"national project","award":["2019-1-3-1-KK-2019-00007"],"award-info":[{"award-number":["2019-1-3-1-KK-2019-00007"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Ploidy analysis is the fundamental method of measuring DNA content. For decades, the principal way of conducting ploidy analysis was through flow cytometry. A flow cytometer is a specialized tool for analyzing cells in a solution. This is convenient in laboratory environments, but prohibits measurement reproducibility and the complete detachment of sample preparation from data acquisition and analysis, which seems to have become paramount with the constant decrease in the number of pathologists per capita all over the globe. As more open computer-aided systems emerge in medicine, the demand for overcoming these shortcomings, and opening access to even more (and more flexible) options, has also emerged. Image-based analysis systems can provide an alternative to these types of workloads, placing the abovementioned problems in a different light. Flow cytometry data can be used as a reference for calibrating an image-based system. This article aims to show an approach to constructing an image-based solution for ploidy analysis, take measurements for a basic comparison of the data produced by the two methods, and produce a workflow with the ultimate goal of calibrating the image-based system.<\/jats:p>","DOI":"10.3390\/s22186952","type":"journal-article","created":{"date-parts":[[2022,9,14]],"date-time":"2022-09-14T23:16:36Z","timestamp":1663197396000},"page":"6952","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Calibration-Aimed Comparison of Image-Cytometry- and Flow-Cytometry-Based Approaches of Ploidy Analysis"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6440-0925","authenticated-orcid":false,"given":"Viktor Zolt\u00e1n","family":"J\u00f3n\u00e1s","sequence":"first","affiliation":[{"name":"Image Analysis Department, 3DHISTECH Ltd., 1141 Budapest, Hungary"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R\u00f3bert","family":"Paulik","sequence":"additional","affiliation":[{"name":"Image Analysis Department, 3DHISTECH Ltd., 1141 Budapest, Hungary"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mikl\u00f3s","family":"Kozlovszky","sequence":"additional","affiliation":[{"name":"Department of BioTech Research Center, \u00d3buda University, 1034 Budapest, Hungary"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"B\u00e9la","family":"Moln\u00e1r","sequence":"additional","affiliation":[{"name":"Image Analysis Department, 3DHISTECH Ltd., 1141 Budapest, Hungary"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,14]]},"reference":[{"key":"ref_1","first-page":"67","article-title":"DNA Measurement and Cell Cycle Analysis by Flow Cytometry","volume":"3","author":"Nunez","year":"2001","journal-title":"Curr. 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