Analyzing microscopic images: New open-source software makes AI models lighter, greener
Summary
Editors have highlighted the following attributes while ensuring the contents credibility: Artificial intelligence (AI) has become an indispensable component in the analysis of microscopic data. Researchers at the Leibniz-Institut für Analytische Wissenschaften (ISAS) and Peking University have therefore created a free compression software that allows scientists to run existing bioimaging AI models faster and with significantly lower energy consumption. To avoid high latency in image analysis, especially on devices with restricted computing power, researchers use sophisticated algorithms to compress the AI models. Therefore, we wanted to develop a ready-to-use and simple solution to apply them to common AI tools in bioimaging," says Yu Zhou, the papers first author and Ph.D. student at AMBIOM. "Our tests show that EfficientBioAI can significantly increase the efficiency of neural networks in bioimaging without limiting the accuracy of the models," summarizes Chen.