Recent advances in microscopy have been profoundly influenced by the integration of deep learning techniques, heralding a new era in imaging science. This interdisciplinary field combines innovative ...
Good knowledge of programming (Python including familiarity with PyTorch); basic knowledge of linear algebra and calculus; basic knowledge of image processing and machine learning is preferred MS, PhD ...
YiRang Shin (left) and Pengfei Song in the Song Lab at the Beckman Institute for Advanced Science and Technology. Credit: Elizabeth Bello, Beckman Institute Communications Office. Researchers at the ...
Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...
Ultrasound (US) imaging is a widely employed diagnostic tool used for real-time imaging of various organs and tissues using ultrasonic sound waves. The waves are sent into the body, and images are ...
In PhotoniX, researchers report a self-supervised deep learning method that denoises dynamic fluorescence images in vivo without requiring clean training data. The figure shows in vivo venule images ...
The company releases the most comprehensive imaging analytics platform on the market, to assist physicians and healthcare providers in providing better care SHEFAYIM ...
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