This interview dives into Curisosis' live cell imaging systems and how they improve reproducibility in cell-based assays.

Abstract: Semantic cell segmentation from microscopic images is essential for the quantitative evaluation of cell morphology. Although supervised deep-learning-based models offer accurate segmentation ...

Chang leads assay and applications development at Takara Bio, driving the commercialization of novel spatial genomics products. She has extensive experience in single-cell multiomics technologies and ...

This project implements a complete deep learning pipeline for counting cells in microscopy images using semantic segmentation. Given fluorescence microscopy images, the model predicts a binary ...

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 ...

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 ...

This is a useful tool for code-less analysis of patterns in cell migratory behaviours in vivo using intravital microscopy data and allows correlation with spatial features of the tumour ...