Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...
Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.
Abstract: Medical image segmentation often encounters significant challenges due to noise and intensity inhomogeneity. While Level Set Models (LSMs) are widely used for segmentation, their ...
Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...
Meta Platforms Inc. today debuted an image generation model that can write code and search the web. Muse Image is the second ...
The concept teaser for Solo Leveling: Beyond the System offers a first look at the story arcs the anime movie will cover.
New research has found that digital breast tomosynthesis (DBT) availability at breast imaging facilities is similar across ...
Over the past few decades, engineers have developed various devices that can create holograms, three-dimensional (3D) or ...
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...