The SwRI-UTSA team numbered somas in various colors to visually assess the algorithm’s tracking performance over time. The technique detected somas automatically tracked from image 1 (top left) to ...
In a study published in Cell on April 7, a research team led by Prof. LI Hanjie from the Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Sciences has revealed the presence ...
A team led by Southwest Research Institute (SwRI) developed a computational method to improve techniques to track brain cell development over time. By studying neurons and their dynamics in brain ...
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