Abstract: Semantic segmentation of microscopy cell images by deep learning plays a crucial role in advancing medicine and cell biology research. We considered that Transformers, which have recently ...
Background: This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual ...
Abstract: In this paper, we introduce the FroImPro toolbox, a novel MATLAB toolbox designed for image processing based on the Frobenius norm. Built upon a mathematical-computational framework, ...
Researchers recently enhanced the titer of a cell line still in development to produce adenovirus viral vectors by 7.5-fold, and without the risk of also producing replication-competent adenoviruses ...
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