Featured Publications
Three-dimensional adaptive optical nanoscopy for thick specimen imaging at sub-50-nm resolution
Hao X, Allgeyer ES, Lee DR, Antonello J, Watters K, Gerdes JA, Schroeder LK, Bottanelli F, Zhao J, Kidd P, Lessard MD, Rothman JE, Cooley L, Biederer T, Booth MJ, Bewersdorf J. Three-dimensional adaptive optical nanoscopy for thick specimen imaging at sub-50-nm resolution. Nature Methods 2021, 18: 688-693. PMID: 34059828, PMCID: PMC7610943, DOI: 10.1038/s41592-021-01149-9.Peer-Reviewed Original ResearchMeSH KeywordsImaging, Three-DimensionalMicroscopy, FluorescenceNanotechnologyOptics and PhotonicsSignal-To-Noise RatioConceptsAdaptive optics schemeBest possible spatial resolutionPossible spatial resolutionOptical nanoscopyOptics schemeDiffraction limitDark stateOptical aberrationsNanoscopy methodsThin samplesThick specimenFluorescent moleculesSpatial resolutionThick specimensNanoscopeIsotropic resolutionResolutionNanoscopyPath geometryFluorescence microscopyMicroscopeMicroscopyLight microscopy of proteins in their ultrastructural context
M’Saad O, Bewersdorf J. Light microscopy of proteins in their ultrastructural context. Nature Communications 2020, 11: 3850. PMID: 32737322, PMCID: PMC7395138, DOI: 10.1038/s41467-020-17523-8.Peer-Reviewed Original ResearchConceptsUltrastructural contextLocal protein densityConventional confocal microscopeCellular nanoarchitectureOptical contrastSpecific proteinsElectron microscopyFluorescence microscopyLight microscopyProteinBulk labelingProtein densityConfocal microscopeStandard light microscopyIntracellular spaceMicroscopyProteomeCellsNanoscaleMicroscopeNew principleDiscoveryLabelingPhysical expansionDensityAn integrated platform for high-throughput nanoscopy
Barentine A, Lin Y, Courvan E, Kidd P, Liu M, Balduf L, Phan T, Rivera-Molina F, Grace M, Marin Z, Lessard M, Rios Chen J, Wang S, Neugebauer K, Bewersdorf J, Baddeley D. An integrated platform for high-throughput nanoscopy. Nature Biotechnology 2023, 41: 1549-1556. PMID: 36914886, PMCID: PMC10497732, DOI: 10.1038/s41587-023-01702-1.Peer-Reviewed Original ResearchConceptsLarge data volumesUser-defined extensionsPlugin frameworkData compressionData volumeCamera frameFrame rateAnalysis platformAcquisition taskPlatformIntegrated acquisitionThroughputSingle-molecule localization microscopyTypical throughputHundreds of cellsThree-dimensional fluorescenceFrameworkTens of cellsLocalization microscopyWorkflow
2017
Biological Insight from Super-Resolution Microscopy: What We Can Learn from Localization-Based Images
Baddeley D, Bewersdorf J. Biological Insight from Super-Resolution Microscopy: What We Can Learn from Localization-Based Images. Annual Review Of Biochemistry 2017, 87: 1-25. PMID: 29272143, DOI: 10.1146/annurev-biochem-060815-014801.Peer-Reviewed Original Research
2008
Three-dimensional sub–100 nm resolution fluorescence microscopy of thick samples
Juette MF, Gould TJ, Lessard MD, Mlodzianoski MJ, Nagpure BS, Bennett BT, Hess ST, Bewersdorf J. Three-dimensional sub–100 nm resolution fluorescence microscopy of thick samples. Nature Methods 2008, 5: 527-529. PMID: 18469823, DOI: 10.1038/nmeth.1211.Peer-Reviewed Original ResearchMeSH KeywordsBiophysicsFluoresceinFluorescent DyesImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalLasersLightMicroscopyMicroscopy, FluorescenceSoftware