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Microspectroscopie et imagerie vibrationnelles : des outils photoniques d’intérêt en biologie et dans le domaine biomédical Valérie Untereiner CHU DE REIMS BioSpecT (BioSpectroscopie Translationnelle), EA 7506 Plate-forme d’Imagerie Cellulaire et Tissulaire (PICT) Université de Reims Champagne-Ardenne 1

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  • Microspectroscopieetimagerievibrationnelles:desoutilsphotoniquesd’intérêt

    enbiologieetdansledomainebiomédical

    ValérieUntereiner

    CHU DE REIMS

    BioSpecT(BioSpectroscopieTranslationnelle),EA7506Plate-formed’ImagerieCellulaireetTissulaire(PICT)

    UniversitédeReimsChampagne-Ardenne

    1

  • Wavenumber(∝Frequency∝Energy)(cm-1)

    Absorbance(u

    .a.)

    Interestofvibrationalbiospectroscopy

    2

    CH2:asymetricstretching

    CH2:symetricstretching

    CH3:umbrellabend

    CH2:scissorbend

    CH2:rocking

    Nondestructivelight/matterinteraction

    Label-free

    Micrometerresolution

    Vibrationalmicro-spectroscopies

    Ramanscattering

    Sourcelaser

    Infraredabsorption

    SourceIR

  • 3

    Insituanalysisofthechemicalbonds,withoutalteringtheintegrityofthesample

    Highmolecularandstructuralspecificity

    IRspectrumofabiologicalsample

    1656cm-1 1669cm-1 1665cm-1

    Secondarystructureofproteins

    Interestofvibrationalbiospectroscopy

  • Ourcoreexpertise:vibrationalspectroscopyforbiologicalapplicationsandbiomedicaltranslation

    Vibrationalspectrum=Molecularsignatureofthesampleinaspecificphysiologicalorpathophysiologicalstate

    Exvivoandinvivosamples

    Cell,tissue,biofluid

    Live,frozenorfixed

    4

    Acquisition Dataprocessing

    Detectionandcharacterizationofphysiologicalor

    pathologicalconditions

    Identificationofspectroscopicbiomarkers

    Discriminantvibrationsindependentofthebiologicalvariabilityusingmultivariatestatisticaldataprocessing

  • Ramanspectralanalysisonlivercells

    Infraredspectralanalysisoncolontissue

    5

    Vibrationalspectroscopyforbiologicalapplicationsandbiomedicaltranslation

  • 6

    Ramanimagingofasingleliversinusoidalendothelialcell(LSEC)

    SzafraniecEetal.,2019

  • Ø  Colon-lastpartofthedigestivesystem

    Ø  Cecum,colon,rectumandanalcanal-largeintestine

    ColonanatomyandhistologyHEstainedsections(non-tumoral)

    (a)Transverse(b)Longitudinal

    Source:BlueHistology,Univ.ofWesternAustralia

    (a)

    (b)

    7

  • (Source:cancerinformaiton.org.uk)

    HEstained

    ColorectalcancerØ  Lossoffunctionalcontrolinthenormalcellsliningthecolonorrectum

    8

  • Candidatemethod:infraredspectralimaging

    Ø  Screeningmethods:Fecaloccultbloodtest(FOBT),colonoscopyandsigmoidoscopy,etc

    Currentscreeninganddiagnosticmethods

    Presentneed:Newerclassificationmethodsprovidingbiomolecularinformationfromcellsandtissuescomplementarytohistopathology

    Diagnosisconfirmation:HISTOPATHOLOGY

    Automatedapproachesforrapiddiagnosis

    9

  • 10

    X

    σ

    Y

    hyperspectralimageDatacube(X!Y!σ)!

    Spectralimaging

    Tensofthousandsofspectra/image

    Pixelsize:1–10µm

    Uncolouredtissuesection,

    possiblyparaffin-embedded

    Millimeter

    Millim

    eter

  • HPSstainedtissue(5Xmagnification)

    K-meansclusteredIRimage

    Non

    -tum

    oraltissue

    Tu

    moraltissue

    K-meansclusteringresultsoftheIRspectralimagesusingrandompseudo-colors

    Crypts(innerpart)Crypts(outerpart)LaminapropriaSubmucosa

    TumorTumorassociatedstroma

    Others-notattributedtoany

    histologicalclass

    Histologicalattribution

    Annotationbyanexpertpathologist

    11

    Libraryofspectralmarkers

  • Spectrafromdifferentcolonichistologicalclasses

    1 Tumorepithelium

    2 Crypt-outerpart

    3 Crypt-innerpart

    4 Muscularispropria

    5 Tumorassociatedstroma

    6 Laminapropria

    7 Submucosa

    8 Bloodvessel

    Confusionmatrix

    1080-1300cm-1

    Constructionandapplicationofthepredictionmodelbasedonlineardiscriminantanalysis

    Internalvalidation

    (1/3rdspectra)

    Trainingset(2/3rdspectra)

    Predictionmodel

    Testset(identificationofunknownsamples)

    (N=71samples)

    posteriorprobability0.5

    (N=9samples)

    12

  • EXTERNALVALIDATIONIdentificationofunknowncolonictissuesbyspectralhistopathology

    (No.ofspectratested:3620287)

    HPSstainedcolontissue(5Xmagnification)

    IR-LDApredictedimage

    Nontumoral

    Finaldiagnosis

    Adenocarcinoma

    13

  • 14

    Individualsatriskofthedisease Diseaseatan

    earlystage

    Overtdisease

    Reponsetotreatment

    Personalizedtreatment

    Recurrence

    Spectroscopicbiomarkers Diagnosis

    Prognosis

    Predictionofthetherapeuticresponse

    Monitoring

    ScreeningScreening

    Translationaldevelopmentofvibrationalspectroscopy

    Monitoring

  • 15

    EquipeBioSpecT:BioSpectroscopieTranslationnelle

    Plate-formeIBiSAd’ImagerieCellulaireetTissulaire(PICT)