Advanced deep learning technology has significantly improved the accuracy and efficiency of general image recognition tasks. Furthermore, its application to biological tissue and medical imaging has ...

Spatially resolved transcriptomics (SRT) has vastly improved our understanding of cellular architecture within tissues 1. However, despite profiling 5–15-µm-thick tissue sections, most SRT studies ...

Leica Microsystems, a leading provider of microscopy and scientific instrumentation, has released the latest version of its AI-driven image analysis software. Aivia 15 empowers scientists to set up ...

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 ...

Planarians are flatworms that have a simple central nervous system (CNS) but an extraordinary ability to regenerate neural tissue. Their CNS is divided into distinct molecular and functional domains ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

Most potential oncology drugs fail during the drug development pipeline, even when there has been promising data for their efficacy during the in vitro stage. This makes it vital to identify in vitro ...

Leica Microsystems released Aivia 15, the latest version of its AI-driven image analysis software for microscopy. The update includes tools for 2D and 3D cell segmentation powered by deep learning, ...

Research and drug discovery are undergoing a transformation, driven by the rise of 3D cell culture models that better replicate human biology. Unlike traditional 2D cultures and animal models, which ...

Growing cells in three dimensions is critical for studying how tissues behave in the body, yet most laboratory platforms remain either too simple or too complex to use widely. Researchers now present ...