Abstract: In recent years, deep learning has been widely utilized in the fields of biomedical image segmentation and cellular image analysis. Supervised deep neural networks trained on annotated data ...

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 ...

This is After Effects tutorial video to teach how to make Glitch effect. Apply to do a sort video that Cell (Dragon Ball) appears in TV to announces the Cell Games. Used: Fractal Noise and ...

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

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

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 ...

Top row (delivery and imaging). Cells and cargo are introduced into a microfluidic chip whose base integrates a porous SU‑8 membrane with vertical through‑holes and a PDMS chamber. As individual cells ...