grant

Development of a fast scanning, extended field-of-view multiphoton microscope for clinical skin imaging

Organization UNIVERSITY OF CALIFORNIA-IRVINELocation IRVINE, UNITED STATESPosted 1 Jul 2018Deadline 31 Mar 2027
NIHUS FederalResearch GrantFY20262-photonAffectAlgorithmsAreaAtopic DermatitisAtopic EczemaAtopic NeurodermatitisAutoimmune DiseasesBehaviorBenchmarkingBest Practice AnalysisBiological MarkersBody TissuesCancersCell BodyCell Communication and SignalingCell SignalingCellsCellular AssayCellular MorphologyChemicalsClinicalClinical ResearchClinical StudyCollagenCompensationComputing MethodologiesConvNetCoriumCutaneousCutaneous imagingCutisDataDedicationsDermalDermatological ImagingDermisDetectionDevelopmentDevicesDisseminated NeurodermatitisElastinEpitheliumFiberFluorescenceFundingGene TranscriptionGenerationsGenetic TranscriptionGoalsGrafting ProcedureGrantHistologicHistologicallyHumanImageImaging DeviceImaging InstrumentImaging ToolImmuneImmune MonitoringImmune infiltratesImmune responseImmunesImmunologic MonitoringImmunological MonitoringImmunomonitoringIn SituInfiltrationIntracellular Communication and SignalingKeratinLabelLaser ElectromagneticLaser RadiationLasersLocationMacrophageMalignant NeoplasmsMalignant TumorMeasurementMelaninsMetabolicMethodsMicroscopeMicroscopicModalityModern ManMolecularMorphologyMotilityMovementNADHOptical MethodsOpticsOrganOrgan TransplantationOrgan TransplantsPatientsPerformancePhysiologic pulsePlayPopulationProcessPulseRNA ExpressionReporterResearchResolutionScanningSignal TransductionSignal Transduction SystemsSignalingSkinSkin ImagingSourceSpecificitySpeedStructureTechniquesTechnologyTherapeuticTimeTissuesTranscriptionVisualizationWorkWound Repairallergic dermatitisallergic eczemaautoimmune conditionautoimmune cutaneous diseaseautoimmune dermatologic diseaseautoimmune dermatologic disorderautoimmune dermatosesautoimmune disorderautoimmune skin conditionautoimmune skin diseaseautoimmune skin disorderautoimmunity diseasebenchmarkbio-markersbiologic markerbiological signal transductionbiomarkerbody movementcell assaycell imagingcell morphologycellular imagingclinical imagingcofactorcomputational methodologycomputational methodscomputer based methodcomputer methodscomputing methodcontrast imagingconvolutional networkconvolutional neural netsconvolutional neural networkdata acquisitiondata acquisitionsdesigndesigningdetection sensitivitydevelopmentalexperiencefluorophorehealinghost responsehuman imagingimagingimaging platformimmune cell infiltrateimmune imagingimmune microenvironmentimmune system responseimmunoimagingimmunoresponseimmunosuppressive microenvironmentimmunosuppressive tumor microenvironmentimprovedin vivoinstrumentintra-vital imagingintravital imagingmalignancymetabolic imagingmicroscope imagingmicroscopic imagingmicroscopy imagingmouse modelmulti-photonmultiphoton excitation microscopymultiphoton microscopymurine modelneoplasm/canceroperationoperationsopticalorgan allograftorgan graftorgan xenograftportabilityprotein biomarkersprotein markersprototyperesolutionsresponse to therapyresponse to treatmentsecond harmonicstandard of caretech developmenttechnology developmenttherapeutic responsetherapy responsetissue woundtooltreat woundtreatment responsetreatment responsivenesstumor immune microenvironmenttumor-immune system interactionstwo-photonwoundwound assessmentwound carewound healingwound managementwound monitoringwound recoverywound resolutionwound therapeuticswound therapywound treatmentwoundingwounds
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Full Description

Summary
The study of mammalian immune cells and their interactions with tissue in situ is critical for understanding

how they regulate processes ranging from wound healing to autoimmune disease initiation to cancer and for

designing better therapeutic strategies to treat these prevalent conditions. Intravital multiphoton microscopy

(MPM) combined with a rich repertoire of fluorescent reporter mouse models and in vivo cell and tissue labeling

techniques have made it possible to visualize immune cell-tissue interactions at a subcellular level in skin and

other organs. However, there are significant differences in the structure and immune milieu of human skin that

limits the translatability of these findings to the human cutaneous immune response. Our group has recently

developed a fast large area multiphoton exoscope (FLAME), a unique imaging platform optimized for efficient

clinical skin imaging to rapidly generate macroscopic images (mm to cm-scale) with microscopic resolution (0.5-

1µm) based on label-free molecular contrast (fluorescence intensity and lifetime). In this application, we leverage

our extensive experience in MPM technology development and clinical imaging of more than 400 patients over

the past several years to develop the first MPM-based clinical device (iFLAME) as a research imaging tool

optimized for, and dedicated to, in vivo label-free imaging of immune cell populations and their dynamics in

human skin. In Aim 1, we develop iFLAME as a clinical research tool for efficient in vivo label-free imaging of

dermal cell populations and their dynamics in human skin. This work involves development of detection and

analytic approaches as well as optical and computational methods to enable rapid fluorescence lifetime detection

and analysis necessary to automate measurements of the cellular morphological and metabolic signatures. In

Aim 2, we validate iFLAME performance by demonstrating in vivo characterization of immune cells in normal

and inflamed human skin. In Aim 3, we develop quantitative morphological and metabolic MPM imaging

endpoints to assess immune infiltrates and their dynamics in human skin in the context of monitoring wound

healing. This work represents the first attempt to use intrinsic sources of MPM contrast to image, identify, and

quantify key immune cells in human skin in vivo based on their optical signatures and migratory behavior. Our

long-term goal is to develop iFLAME as a clinical research tool for rapid, label-free imaging of immune cells in

skin based on cellular morphologic and metabolic imaging endpoints. These can be used to better understand,

evaluate and optimize wound healing, autoimmune skin diseases and therapeutic responses.

Grant Number: 5R01EB026705-08
NIH Institute/Center: NIH

Principal Investigator: Mihaela Balu

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