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 ...

Learn how to detect and manage deleted Excel cells that don’t appear in the change log. Tips for tracking all changes effectively. #ExcelTips #TrackChanges #SpreadsheetSkills Donald Trump impeachment ...

Explore the latest Excel improvements for inserting and managing pictures in cells. Learn tips and tricks to enhance your spreadsheets efficiently. #ExcelTips #PictureInCell #ProductivityHacks ...

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

Abstract: State-of-the-art (SOTA) methods for cell instance segmentation are based on deep learning (DL) semantic segmentation approaches, focusing on distinguishing foreground pixels from background ...

Spatial transcriptomics is undergoing rapid advancements and iterations. It is a beneficial tool to significantly enhance our understanding of tissue organization and relationships between cells.

Cell segmentation is a crucial step in numerous biomedical imaging endeavors—so much so that the community is flooded with publicly available, state-of-the-art segmentation techniques ready for out-of ...

Abstract: Cell segmentation in Phase-Contrast (PhC) microscopy is crucial for non-invasive analysis of live-cell imaging data. However, traditional segmentation methods often struggle with challenges ...

Identifying and delineating cell structures in microscopy images is crucial for understanding the complex processes of life. This task is called "segmentation" and it enables a range of applications, ...