Publications
Dataset · Figshare · January 1, 2023
VirtualStaining Dataset
Elena Yu Trizna, Aleksandr Sinitca, Pavel Zelenikhin, Asya I. Lyanova, Diana R. Baidamshina, Dmitrii Kaplun
Abstract
The enclosed set contains human colon adenocarcinoma Caco-2 cells microscopic images obtained under various imaging conditions with different viable vs non-viable cells fractions. Each field of view is provided in a three-fold representation, including phase-contrast microscopy and two differential fluorescent microscopy images with specific markup of viable and non-viable cells, respectively, produced using two different staining schemes, representing a prominent test bed for the validation of image analysis methods.
Cell Image Analysis TechniquesDigital Imaging for Blood DiseasesDigital Holography and MicroscopyCaco-2 cellscolon adenocarcinomacell viability
More by Dmitry Kaplun
- Codewithsayanjib/slm-systematic-review: v1.1Zenodo · 2026
- Microscopy Image Dataset of pulmonary vessels for Quantitative assessment of fibrosisScientific Data · 2026
- Microscopy Image Dataset of pulmonary vessels for Deep Learning-Based Quantitative assessment of fibrosisFigshare · 2026
- MA2MU-Net++: A Mahalanobis distance and Ackley function based multi-modal U-Net++ model for breast nuclei segmentation in histopathology imagesBiomedical Signal Processing and Control · 2026