A new approach for high-throughput quantitative phase microscopy

Cell organelles are involved in a variety of cellular life activities. Their dysfunction is closely related to the development and metastasis of cancer. Exploration of subcellular structures and their abnormal states facilitates ...

Deep learning tool identifies bacteria in micrographs

Omnipose, a deep learning software, is helping to solve the challenge of identifying varied and miniscule bacteria in microscopy images. It has gone beyond this initial goal to identify several other types of tiny objects ...

Computer genetic metrics of fly brain reveal sex differences

Thanks to genetic tools that allow computers to accurately count neurons from microscopy images, EPFL researchers have estimated with unprecedented accuracy the number of neurons and other types of cells in the brain of fruit ...

Reactive microscopy with MicroMator software

Microscopic imaging analysis is a crucial component of biochemistry and medicine, with significant progress in accuracy and speed made due to machine learning methods and improved computation. These technical advances can ...

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