Biophysicists have developed control software that optimizes how fluorescence microscopes collect data on living samples. Their control loop, used to image mitochondrial and bacterial sites of ...

The first deep-learning software was developed as a versatile tool for tracking cells and extracting their signals from ~100 cells in a moving worm brain, in a zebrafish heart, and ~1,000 cultured ...

Synthetic biologists at the Virginia Bioinformatics Institute are at Virginia Tech pioneering new ways to overcome old problems in imaging cells. Using a new software called GenoSIGHT, scientists were ...

North America accounted for the largest market share in 2025. The microscope software market is projected to grow to $3.09b ...

WALTHAM, Mass.--(BUSINESS WIRE)--EUROIMMUN, a PerkinElmer, Inc. company, today announced the launch of the EUROPattern TM Microscope Live (EPML) compact immunofluorescence microscope, available with ...

Is it possible for microscopes to learn a bit about the brain? Even be taught by neuroscientists to reliably recognize parts of brain cells... all on their own? Though it may seem like something ...

Evident Scientific (Olympus) IXPlore IX85 SpinSR spinning disk with super-resolution. NIH 1S10OD038323. Nikon Ti2E AXR NSPARC laser scanning confocal with super-resolution. Nikon TiE A1+/NSIM laser ...

According to MarketsandMarkets, the Microscope Software Market is projected to grow from about USD 1.78 billion in 2026 to USD 3.09 billion by ...

Imagine you’re a PhD student with a fluorescent microscope and a sample of live bacteria. What’s the best way use these resources to obtain detailed observations of bacterial division from the sample?