We've updated our Privacy Policy to make it clearer how we use your personal data.

We use cookies to provide you with a better experience, read our Cookie Policy

Machine Learning Tracks Moving Cells

News   Mar 19, 2019 | Original Press Release from OIST

 
Machine Learning Tracks Moving Cells

The Micro/Bio/Nanofluidics Unit has devised a machine learning software to segment, track, and analyze the movement of migrating cells. Named Usiigaci, a Ryukyuan word that means 'tracing,' the software significantly outperforms existing programs and has many applications across biology and medicine. Credit: OIST under CC 2.0 https://creativecommons.org/licenses/by/2.0/

 
 
 

RELATED ARTICLES

Mathematical Model Uncovers Long-Distance Cell Communication Mechanism

News

A new study has identified how a large community of cells can communicate with each other almost simultaneously even with very short distance signaling.

READ MORE

Cells’ Mitochondria Work Much Like Tesla Battery Packs

News

UCLA researchers have shown that mitochondria are made up of many individual bioelectric units that generate energy in an array, similar to a Tesla electric car battery that packs thousands of battery cells to manage energy safely and provide fast access to very high current.

READ MORE

Study Finds Commercially Available Antibodies Are Not Binding Their Target

News

In a new study, researchers have tested the binding specificity of commercial antibodies to the C9ORF72 protein, and explored a novel validation approach.

READ MORE

 

Like what you just read? You can find similar content on the communities below.

Analysis & Separations Cell Science

To personalize the content you see on Technology Networks homepage, Log In or Subscribe for Free

LOGIN SUBSCRIBE FOR FREE