New algorithm to help process biological images

IMAGE: At train-time, we embed each pixel of the ground truth image SI as the mean of predefined guide functions f over instance pixels it belongs to, resuling in embeddings e(S,... view more Skoltech researchers have presented a new biological image processing method that accurately picks out specific biological objects in complex images. Their results will be presented as an oral talk at the high-profile computer vision conference, CVPR 2020. Biologists get a wealth of information in the form of biological images, which makes their automatic processing a formidable task. Researchers often have to handle images with a large number of objects, which is especially hard when it comes to microscopy images with overlapping objects and poor image quality and sharpness. Machine Learning (ML) helps train the computer to process biological images, making data analysis much faster, more accurate and consistent across experiments.