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Label-free quantitative biological imaging with Lyncée Tec DHM® Lipid droplets in adipocytes

Label-free quantitative biological imaging with Lyncée Tec ... · DHM® by Lyncée Tec scientific recognition. 1. Rappaz B, Moon I, Yi F, Javidi B, Marquet P, Turcatti G., Automated

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  • Label-free quantitative biological imagingwith Lyncée Tec DHM®

    Lipid droplets in adipocytes

  • Lyncée Tec supplies directly and through partners universities, industrial laboratories, and manufacturers with a complete range of Digital Holographic Microscopes (DHM®), application software, and accessories.

    • Founded in 2003, in Lausanne, Switzerland

    • Presence in 40 countries – A complete range of products

    (direct and distribution network)– OEM partnerships

    (semiconductor, photovoltaic, industrial metrology, life sciences)

    • Lyncée provides turnkey solutions from sample handling to data analysis for:

    – Optical Profilometry– Bio-imaging

    Transmission DHM®

    Reflection DHM®

    Digital Holographic Camera

    Lyncée Tec SAthe pioneer and leader in phase imaging

  • Our Life-sciences DHM® provides unmet advantages

    Label-free non-invasive imaging technique (non-perturbing measurements)

    Quantitative information about morphology and intracellular content

    Millisecond to multi-days continuous recording

  • Digital Holographic Camera

    To be attached to any existing microscope

    Same specifications as DHM®

    Non-perturbing measurements

    Quantitative phase

    Phase-fluorescence correlation

    Additional channel for segmentation

  • Digital Holographic Camera specifications

    DHC-S (Standard) DHC-P (Premium)

    Acquisition rate 194 fps 75 fps

    Field of view (10x) 0.6 * 0.6 mm 1.2 * 1.2 mm

    Sensor 1 Mpixel sCMOS 4 Mpixel sCMOS

    Fluorescence Sequential Simultaneous

    • Magnification: from 5x to 100x

    • Lateral resolution: MO dependent

    • C-mount interface for high compatibility

  • Basis of Digital Holographic Imaging

    Hologram

    Numerical reconstruction+ analysis

    On-the-fly Image analysis

    DHM® quantitative phase signal:• morphological information• intracellular content• dynamics parameters• population metrics

    Intensity image

    Image acquisition

    Microscope

    Camera

    Quantitativephase image

  • Software solutions

    Acquisition and live analysis: Koala Advanced data processing: Cell Analysis Tool

    Dedicated analysis workflows• End-point measurement• Time-lapse• Dose-response curve• Phase-fluorescence correlation• … and more

  • DHM®: Biological imaging / solutions4 key application categories

    DHMsignal

    4D tracking

    Ion fluxes (optical patch

    clamp)

    Cell dynamics

    Cell culture monitoring

  • Cell culture monitoring

    Cytotoxicity

    Live quantification of cytotoxicityHeLa cells treated with doxorubicin imaged continuously for 24 hours

    Migration/proliferation

    0 5 1 0 1 5 2 0 2 5 3 0 3 5 4 0-1 0

    0

    1 0

    2 0

    3 0

    4 0

    5 0

    6 0

    7 0

    T im e [h ]

    Co

    nfl

    ue

    nce

    [%

    ](n

    orm

    ed

    to

    tim

    e t

    = 0

    )

    C t r l0 .3 n M C y to c h a la s in D1 0 µ M C y to c h a la s in D

    Migration assayConfluence allows to quantify the effect of Cytochalasin D on the migration.Measured IC50 = 649 nM

  • Drug testing in 3D environment

    HCT116 cells grown in 3D agar gel.Serial-dilution of doxorubicin. Image after 72h with at 10x

    00 .0 0 0 1 0 .0 0 1 0 .0 1 0 .1 1 1 0 1 0 0

    IC50Doxo_24h0.27

    Doxo_48h0.065

    Doxo_72h0.031

    H C T 1 1 6 in 3 D a g a r g e l

    D o x o r u b ic in [µ M ]

    Dry

    ma

    ss [µ

    g]

    2 4 h

    4 8 h

    7 2 h

    C tr l

    Doxorubicin

    Automatic reconstruction of a single plane is sufficient for quantification of cytotoxicity in 3D

  • Cell dynamics quantification

    Cardiomyocytes beating

    Beating profile quantificationNon-perturbing quantification of the beating (bpm, shape, etc.) of cardiomyocytes

    Follow your cells in real time

    Millisecond cell dynamics quantification

    Intracellular organelles tracking

    0 2 4 6 8 1 0

    7 8

    7 9

    8 0

    T im e [s ]

    Avg

    OPD

    [n

    m]

    C tr l

    C tr l

    a fte

    r 15

    min

    Isop r

    e na l

    ine

    (10 0

    nM

    )

    E -4 0

    3 1 (1

    0 0 n

    M)

    N ife

    d ip i

    n e (1

    0 0 n

    M)

    F LP

    6 41 7

    6 (1

    µM

    )0

    1 0

    2 0

    3 0

    4 0

    5 0

    6 0

    C a r d io m y o c y t e b e a tr a te m o d u la t io n (n = 3 )

    Be

    at

    rate

    [b

    pm

    ]

  • Tracking: Refocusing capability(off-line digital propagation)

    One hologram (single shot)from a single plane

    Best focus(automatically found)

    Range scanned: focus ± 140 µm

    Bright-field Quantitative OPD image

    z -p o s

    [µm ]In

    ten

    sit

    y

    sp

    ati

    al

    SD

    b e s t fo c u s

    No mechanical focusing-> faster acquisition

    Digital positioning-> 3D localization

  • Bacteria 4D tracking

    Tracking resolutionLateral = objective lateral resolutionAxial = depth of field/3(for 63x in air = ~0.5 µm in all dimensions)Transmission DHM, MO=63x

  • Bacteria 4D tracking

    Transmission DHM, MO=63x

  • 4D tracking

    4D tracking of bacteria

    Vibrio coralliilyticus bacteria tracks Non-perturbing quantification of the beating (bpm, shape, etc.) of cardiomyocytes

    3D tracking in time with DHM®

    Single acquisition per time point

    Offline refocusing (typically at 50 im/s)

    3D positioning and quantification at 194 fps

  • Multimodality

    Fluorescence module

    Simultaneous recording of DHM and FluoAllows to combine two modalities

    Electrophysiology

    Patch clamp setupRecord both the phase and current in the same sample

    DHM® Fluorescence (fluo-4)

  • Added value with fluorescence modality

  • Combine multiple informations

    China Agricultural University: Prof. Wang

    Phaseimage

    3D view

  • Combine multiple informations

    Digital “flattening”of the water drop

  • Combine multiple informations

    China Agricultural University: Prof. Wang

    Confocal module:Z-stack reconstruction

  • HCS/HTS screeningDMSO DoxorubicinWhole plate snapshot

    All physiological aspect of cells investigated simultaneously

    384 well plate scanned in less than 11 minutes

    Long time-lapse capability

    Classify phenotypes

  • Conclusions

    Label-free non-invasive imaging technique (non-perturbing measurements)

    Quantitative information about morphology and intracellular content

    Millisecond to multi-days continuous recording

    Multimodality (software and hardware)

  • Contact informationLyncée Tec SAInnovation ParkBâtiment-ACH-1015 LausanneSwitzerlandwww.lynceetec.com

    Tel.: +41 (0)21 693 02 20Fax: +41 (0)21 693 02 [email protected]

    Yves EmeryCEO

    Benjamin RappazHead of life sciences applications

    [email protected]

    [email protected]

    http://www.lynceetec.com/mailto:[email protected]:[email protected]

  • DHM® by Lyncée Tec scientific recognition1. Rappaz B, Moon I, Yi F, Javidi B, Marquet P, Turcatti G., Automated multi-parameter measurement of cardiomyocytes dynamics with digital holographic microscopy. Opt Express. 2015 May 18;23(10):13333-47.

    2. P. Jourdain, F. Becq, S. Lengacher, C. Boinot, P. J. Magistretti and P. Marquet, "The human CFTR protein expressed in CHO cells activates aquaporin-3 in a cAMP-dependent pathway: study by digital holographicmicroscopy," Journal of Cell Science 127 (3), 546–556 (2014).

    3. B. Rappaz, B. Breton, E. Shaffer and G. Turcatti, "Digital Holographic Microscopy: A Quantitative Label-Free Microscopy Technique for Phenotypic Screening," Combinatorial Chemistry & High Throughput Screening 17(1), 80–88 (2014).

    4. Y. Cotte, F. Toy, P. Jourdain, N. Pavillon, D. Boss, P. Magistretti, P. Marquet and C. Depeursinge, "Marker-free phase nanoscopy," Nature Photonics 7 (2), 113–117 (2013).

    5. N. Pavillon, J. Kühn, C. Moratal, P. Jourdain, C. Depeursinge, P. J. Magistretti, P. Marquet and J. Najbauer, "Early Cell Death Detection with Digital Holographic Microscopy," PLoS ONE 7 (1), e30912 (9 pages) (2012).

    6. P. Jourdain, D. Boss, B. Rappaz, C. Moratal, M. - C. Hernandez, C. Depeursinge, P. J. Magistretti, P. Marquet and V. Ceña, "Simultaneous Optical Recording in Multiple Cells by Digital Holographic Microscopy of ChlorideCurrent Associated to Activation of the Ligand-Gated Chloride Channel GABAA Receptor," PLoS ONE 7 (12), e51041 (10 pages) (2012).

    7. Pascal Jourdain, Nicolas Pavillon, Corinne Moratal, Daniel Boss, Benjamin Rappaz, Christian Depeursinge, Pierre Marquet and Pierre J. Magistretti, "Determination of transmembrane water fluxes in neurons elicitedglutamate ionotropic receptors and by the cotransporters KCC2 and NKCC1: a digital holographic study," The Journal of Neuroscience 31 (33), 11846–11854 (2011).

    8. J. Kühn, F. Montfort, T. Colomb, B. Rappaz, C. Moratal, N. Pavillon, P. Marquet and C. Depeursinge, "Submicrometer tomography of cells by multiple-wavelength digital holographic microscopy in reflection," Opt. Lett.34 (5), 653–655 (2009).

    9. B. Rappaz, A. Barbul, A. Hoffmann, D. Boss, R. Korenstein, C. Depeursinge, P. J. Magistretti and P. Marquet, "Spatial analysis of erythrocyte membrane fluctuations by digital holographic microscopy," Blood Cells,Molecules, and Diseases 42 (3), 228–232 (2009).

    10. B. Rappaz, E. Cano, T. Colomb, J. Kuhn, C. Depeursinge, V. Simanis, P. J. Magistretti and P. Marquet, "Noninvasive characterization of the fission yeast cell cycle by monitoring dry mass with digital holographicmicroscopy," Journal of Biomedical Optics 14 (3), 034049 (5 pages) (2009).

    11. B. Rappaz, A. Barbul, Y. Emery, R. Korenstein, C. Depeursinge, P. J. Magistretti and P. Marquet, "Comparative study of human erythrocytes by digital holographic microscopy, confocal microscopy, and impedancevolume analyzer," Cytometry Part A 73a (10), 895–903 (2008).

    12. F. Charrière, N. Pavillon, T. Colomb, T. Heger, E. Mitchell, P. Marquet, B. Rappaz and C. Depeursinge, "Living specimen tomography by digital holographic microscopy: morphometry of testate amoeba," Optics Express14 (16), 7005–7013 (2006).

    13. B. Rappaz, P. Marquet, E. Cuche, Y. Emery, C. Depeursinge and P. J. Magistretti, "Measurement of the integral refractive index and dynamic cell morphometry of living cells with digital holographic microscopy," OpticsExpress 13 (23), 9361–9373 (2005).

    14. P. Marquet, B. Rappaz, P. J. Magistretti, E. Cuche, Y. Emery, T. Colomb and C. Depeursinge, "Digital holographic microscopy: a noninvasive contrast imaging technique allowing quantitative visualization of living cellswith subwavelength axial accuracy," Optics Letters 30 (5), 468–470 (2005).

    And many others …

  • Whole range of options

    DHM® specifications

    1.25x to 100x microscope objectives (air and high NA oil)

    1 nm accuracy in vertical axis

    Acquisition rate: high SNR at 194 fps (optional up to 940 fps)

    • Acquisition time per image: 0.5 ms

  • Cell dynamics and dry mass quantification

    Cell cycle/dry mass

    S. Pombe cell cycle monitoring

    RBC physiological parameters

  • GABAA-R open30

    µM

    GAB

    A

    OPD = 312 nm

    d: decrease (exit of water)nc: increase (concentration of cytoplasm)OPD: increase

    Water follows Cl- fluxes -> changes in RI -> signal in DHM -> “optical electrode”

    dnc

    LargeOPD

    Cl-

    H2O

    Optical electrophysiology

    Phase = integration of current

    1 min

    6 nm0.2 nA

    Increase of OPD =Exit of water

    Inward current =Exit of negative ionsGABA (3 µM, 30s)

    HEK cells with GABAA-R

    Multimodal DHM®-Electrophysiology

  • Optical electrophysiology

    Optical patch clamp

    Cortical neurons glutamate responseIon-associated water movements is used to quantify the activity of ion channels and co-transporters

    Optical recording of ions movements

    Channels (GABA, glutamate, CFTR,…) and electroneutral co-transporteurs

    No need to patch cells

    No use of labeling agent

    No phototoxicity

    Simultaneous recording at each pixel of the field of view

    Multi-site and parallel measurements

    Label-free quantitative biological imaging�with Lyncée Tec DHM®Lyncée Tec SA�the pioneer and leader in phase imagingOur Life-sciences DHM® provides unmet advantagesDigital Holographic CameraDigital Holographic Camera specificationsBasis of Digital Holographic ImagingSoftware solutionsDHM®: Biological imaging / solutions�4 key application categoriesCell culture monitoringSlide Number 10Cell dynamics quantificationSlide Number 12Bacteria 4D trackingBacteria 4D tracking4D trackingMultimodalityAdded value with fluorescence modalityCombine multiple informationsCombine multiple informationsCombine multiple informationsHCS/HTS screeningConclusionsSlide Number 23Slide Number 24Whole range of optionsCell dynamics and dry mass quantificationOptical electrophysiologyOptical electrophysiology