id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
5x21td99n58	Varun Mannam	Overcoming Fundamental Limits of Three-Dimensional In Vivo Fluorescence Imaging Using Machine Learning	2022		.txt	text/plain	826	31	33	To develop the ML model, we need another massive training dataset that maps from the diffraction-limited images to super-resolution images, which is a cumbersome process. Currently, we have developed a prototype of the ML model that requires only an ultra-small training dataset (15 target SR images with 50 diffraction-limited images per target) to generate super-resolution images.	cache/5x21td99n58.txt	txt/5x21td99n58.txt