JSTOR Daily

Bayesian Morphology: Fast Unsupervised Bayesian Image Analysis

We consider the problems of image segmentation and classification, and image restoration when the true image is made up of a small number of (unordered) colors. Our emphasis is on both performance and ...
News Medical

The performance of state-of-the-art cell segmentation algorithms on a diverse collection of bacterial cells

In a recent study published in Nature Methods, researchers assessed a novel method for bacterial cell segmentation named Omnipose. Breakthroughs in microscopy are extremely promising for enabling ...
BioTechniques

Robust morphology-based classification of cells following label-free cell-by-cell segmentation using convolutional neural networks

Light microscopy is a cost-effective, non invasive, accessible modality for high-throughput live-cell imaging. Accurate segmentation of individual cells enables exploration of complex biological ...
BioTechniques

Label-free quantification of cell growth and morphology using artificial intelligence and advanced data analytics

Live-cell imaging enables scientists and researchers to acquire phase contrast images and provides an ideal platform to study complex biological models. As these models move towards using more ...
EurekAlert!

Sizing them up! An algorithm to accurately quantify rapeseed silique morphology

Rapeseed or oilseed rape (Brassica napus L.) is an important crop cultivated worldwide for its oil-rich seeds. The rapeseed silique is an organ that plays a role in photosynthesis, sends developmental ...