Scattering media pose a significant barrier to non-invasive biomedical imaging,as conventional wavefront shaping methods rely on invasive guide stars or costly nonlinear modalities.Here,we introduce an improved approa...Scattering media pose a significant barrier to non-invasive biomedical imaging,as conventional wavefront shaping methods rely on invasive guide stars or costly nonlinear modalities.Here,we introduce an improved approach that enables high-fidelity,non-invasive fluorescence imaging through scattering media by combining the linear fluorescence mechanism with efficient computational optimization.The method leverages a genetic algorithm guided by variance maximization to dynamically optimize speckle,non-invasively exciting an individual fluorescent bead by∼10-fold enhancement in target intensity ratio.This process generates a precise system point spread function(PSF),which drives a convex optimization-based deconvolution framework to reconstruct obscured targets.Remarkably,the technique eliminates the need for complex scanning systems,achieving rapid wide-field imaging with structural similarity(SSIM)indices exceeding 0.997(for beads).We demonstrate robust imaging of both discrete beads and continuous fibers behind scattering media,revealing resolution superior to that of conventional speckle cross-correlation methods.The method provides a pathway for non-invasively visualizing fluorescent objects behind scattering media.展开更多
基金National Natural Science Foundation of China(62175198,62335018,12127805,62005309,61991452,U22A2092)Open Science Foundation of the Key Laboratory of Hepatobiliary Technology of Mengchao(2024ZDSY1001)Youth Innovation Promotion Association of the Chinese Academy of Sciences。
文摘Scattering media pose a significant barrier to non-invasive biomedical imaging,as conventional wavefront shaping methods rely on invasive guide stars or costly nonlinear modalities.Here,we introduce an improved approach that enables high-fidelity,non-invasive fluorescence imaging through scattering media by combining the linear fluorescence mechanism with efficient computational optimization.The method leverages a genetic algorithm guided by variance maximization to dynamically optimize speckle,non-invasively exciting an individual fluorescent bead by∼10-fold enhancement in target intensity ratio.This process generates a precise system point spread function(PSF),which drives a convex optimization-based deconvolution framework to reconstruct obscured targets.Remarkably,the technique eliminates the need for complex scanning systems,achieving rapid wide-field imaging with structural similarity(SSIM)indices exceeding 0.997(for beads).We demonstrate robust imaging of both discrete beads and continuous fibers behind scattering media,revealing resolution superior to that of conventional speckle cross-correlation methods.The method provides a pathway for non-invasively visualizing fluorescent objects behind scattering media.
