Comparative Analysis of Nucleus Segmentation Techniques for Enhanced DNA Quantification in Propidium Iodide-Stained Samples

Digitization in pathology and cytology labs is now widespread, a significant shift from a decade ago when few doctors used image processing tools. Despite unchanged scanning times due to excitation in fluorescent imaging, advancements in computing power and software have enabled more complex algorithms, yielding better-quality results. This study evaluates three nucleus segmentation algorithms for ploidy analysis using propidium iodide-stained digital WSI slides. Our goal was to improve segmentation accuracy to more closely match DNA histograms obtained via flow cytometry, with the ultimate aim of enhancing the calibration method we proposed in a previous study, which seeks to align image cytometry results with those from flow cytometry. We assessed these algorithms based on raw segmentation performance and DNA histogram similarity, using confusion-matrix-based metrics. Results indicate that modern algorithms perform better, with F1 scores exceeding 0.845, compared to our earlier solution’s 0.807, and produce DNA histograms that more closely resemble those from the reference FCM method.

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Publication Details

Journal
Applied Sciences
Published
2024-09-26
DOI
https://doi.org/10.3390/app14198707
Citations
2
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.47
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article

Comparative Analysis of Nucleus Segmentation Techniques for Enhanced DNA Quantification in Propidium Iodide-Stained Samples

Béla Molnár, Viktor Jónás, Róbert Paulik, Miklós Kozlovszky
2 citations
Applied Sciences
Molecular Biology Techniques and Applications
0.47
article

Comparative Analysis of Nucleus Segmentation Techniques for Enhanced DNA Quantification in Propidium Iodide-Stained Samples

Béla Molnár, Viktor Jónás, Róbert Paulik, Miklós Kozlovszky
article en
2 citations

Abstract

Digitization in pathology and cytology labs is now widespread, a significant shift from a decade ago when few doctors used image processing tools. Despite unchanged scanning times due to excitation in fluorescent imaging, advancements in computing power and software have enabled more complex algorithms, yielding better-quality results. This study evaluates three nucleus segmentation algorithms for ploidy analysis using propidium iodide-stained digital WSI slides. Our goal was to improve segmentation accuracy to more closely match DNA histograms obtained via flow cytometry, with the ultimate aim of enhancing the calibration method we proposed in a previous study, which seeks to align image cytometry results with those from flow cytometry. We assessed these algorithms based on raw segmentation performance and DNA histogram similarity, using confusion-matrix-based metrics. Results indicate that modern algorithms perform better, with F1 scores exceeding 0.845, compared to our earlier solution’s 0.807, and produce DNA histograms that more closely resemble those from the reference FCM method.

Applied SciencesVol. 14(19)
Semmelweis University (HU), Obuda University (HU), HUN-REN Institute for Computer Science and Control (HU), Hungarian Research Network (HU)
Industry, innovation and infrastructure
Openalex Percentile: Top 35%
Molecular Biology Techniques and Applications
0.47
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Comparative Analysis of Nucleus Segmentation Techniques for Enhanced DNA Quantification in Propidium Iodide-Stained Samples — Béla Molnár, Viktor Jónás, et al. · Applied Sciences (2024) | TGRS Research Map | TGRS