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Automated Cell Foreground–Background Segmentation with Phase-Contrast Microscopy Images: An Alternative to Machine Learning Segmentation Methods with Small-Scale Data

Guochang Ye, Mehmet Kaya • Bioengineering (2022)

Cell segmentation is a critical step for image-based experimental analysis. Existing cell segmentation methods are neither entirely automated nor perform well under basic laboratory microscopy. This study proposes an efficient and automated...

DOAJ Open Access (DOAJ) DOI: 10.3390/bioengineering9020081

CeCILE - An Artificial Intelligence Based Cell-Detection for the Evaluation of Radiation Effects in Eucaryotic Cells

Sarah Rudigkeit, Julian B. Reindl, Nicole Matejka, Rika Ramson et al. • Frontiers in Oncology (2021)

The fundamental basis in the development of novel radiotherapy methods is in-vitro cellular studies. To assess different endpoints of cellular reactions to irradiation like proliferation, cell cycle arrest, and cell death, several assays ar...

DOAJ Open Access (DOAJ) DOI: 10.3389/fonc.2021.688333