Cells contain a wealth of information about health and disease, but extracting that data reliably from microscope images remains a major challenge. Many important differences between healthy and ...

HKU researchers developed MorphoGenie, an interpretable AI that analyzes cell images to uncover subtle biological patterns.

Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how unicellular organisms respond to stress, focusing on cell-to-cell differences.

New confocal fluorescence imaging minimizes photobleaching and phototoxicity effects, capturing clear images of live 3D culture Industry-leading throughput enables real-time analysis of up to six ...

Scopio Labs, the leader in Full-Field digital cell morphology, today announced it has achieved IVDR certification for its Full-Field Bone Marrow Aspirate (FF-BMA) Application. This milestone, covering ...

A research paper by scientists at University of Oxford presented a humanoid robotic bioreactor capable of delivering ...

In the rapidly evolving field of drug discovery, single-cell analysis has become an invaluable tool for understanding cellular heterogeneity and molecular pathways. However, traditional single-cell ...

Researchers at Cornell University have developed a powerful new genetic toolkit that allows scientists to study how genes function at the level of individual cells, an advance that could accelerate ...

Cell migration is a multistep process essential to various physiological functions, including immune cell movement and embryonic development, as well as pathological conditions like tumor metastasis.

Study: Multimodal AI generates virtual population for tumor microenvironment modeling A recent study published in the journal Cell explored the capabilities of GigaTIME, a multimodal AI framework ...