Ashesh Ashesh

Abstract Fluorescence microscopy is constrained by optical limits, fluorophore chemistry and finite photon budgets, imposing trade-offs between imaging speed, resolution and phototoxicity. Here we introduce \({\rm{Micro}}{\mathbb{S}}{\rm{plit}}\), a deep learning-based computational multiplexing method that enables multiple cellular structures to be imaged simultaneously in a single fluorescent channel and then computationally unmixed.

Abstract Fluorescence microscopy, a key driver for progress in the life sciences, faces limitations due to the microscope's optics, fluorophore chemistry, and photon exposure limits, necessitating trade-offs in imaging speed, resolution, and depth.