Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopy
Guo M, Wu Y, Hobson C, Su Y, Qian S, Krueger E, Christensen R, Kroeschell G, Bui J, Chaw M, Zhang L, Liu J, Hou X, Han X, Lu Z, Ma X, Zhovmer A, Combs C, Moyle M, Yemini E, Liu H, Liu Z, Benedetto A, La Riviere P, Colón-Ramos D, Shroff H. Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopy. Nature Communications 2025, 16: 313. PMID: 39747824, PMCID: PMC11697233, DOI: 10.1038/s41467-024-55267-x.Peer-Reviewed Original ResearchConceptsAdaptive optics techniquesMulti-photonDeep learning-based strategyAberration compensationLearning-based strategyTrained neural networkImprove image qualityOptical aberrationsNeural networkImage quantitationOptical techniquesDiverse datasetsSuper-resolution microscopyLight sheetRestore dataImage qualityImage signalNetworkImage inspectionImage acquisitionImage stacksOpticsResolutionImagesFluorescence microscopy
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