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High Resolution imaging in Deep Tissue

High Resolution imaging in Deep Tissue. Rainer Heintzmann , Institute for Photonic Technologies (IPHT), Friedrich Schiller University of Jena Randall Division, King‘s College London. Biophotonics, 2011. The Problem: 1. Absorbtion. blood. melanosom. Absorbtion Coefficient / cm -1.

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High Resolution imaging in Deep Tissue

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  1. High Resolution imaging in Deep Tissue Rainer Heintzmann, Institute forPhotonic Technologies (IPHT), Friedrich Schiller University of Jena Randall Division, King‘s College London Biophotonics, 2011

  2. The Problem: 1. Absorbtion blood melanosom Absorbtion Coefficient / cm-1 aorta water skin epidermis Wavelength / nm

  3. User requirements • as „lifelike“ as possible: • the illumination light should not influence the behaviour • sample-mounting shound not disturbe • fluorphores (vFPs) should behave close towildtype • images have to be taken quickly„temporal sampling“to avoid artefacts, distortions and allow tracking

  4. The Problem: 2. Scattering Rayleigh scattering: ~ l-4 Blue: Bad! Red / Infrared: OK!

  5. focal distance plane of focus Physics of Light Light as a Wave Moving Phase Front

  6. The Problem: 3. Aberrations Distorted Wavefront (Aberrated)

  7. Solution 1: Two Photon Effect ps ps ps ps hn hn hn Singlet Singlet Ps1 Ps1 Ps0 Ps0 2 Photons absorbed 1 Photon absorbed Probability ~ Intensity2

  8. Solution 1: Two Photon Effect Two Photon Excitation Zipfel, Williams, Webb, Nature Biotechnology21, 1369 - 1377 (2003)

  9. Solution 1: Two Photon Effect DichromaticReflector Wide Area Detector at close destance emission photons will be multiply scattered  Non descanned detection needed to maximize capture area

  10. Solution 1: Two Photon Effect • Much less absorption • Much less scattering • Less aberrations • Less out-of-focus bleach • Fancy technique: Temporal focussing leads to ultrafast scans Scattering loss is compensated until Surface starts „burning“

  11. Solution 1: Two Photon Effect Some techniques (Multifocus, Temporal focussing) require imaging of the emitted light Problem: haze from emission scattering remains Solution: 1. Use different technique (e.g. single beam) 2. Combination with modulated excitation e.g. Structured illumination or focal modulation  removes haze, but subtraction noise remains 3. temporal gating (may reduce noise but also signal)

  12. Solution 2: Ultramicroscopy Unnessesary Bleaching Selective Plane Illumination Microscopy Illumination Plane of focus

  13. Solution 2: Ultramicroscopy Selective Plane Illumination Microscopy Light Sheet Illumination Cylinder Lens

  14. Solution 2: Ultramicroscopy Selective Plane Illumination Microscopy Detection Illumination

  15. Solution 2: Ultramicroscopy 3D reconstruction of large 3-dimensional microscopic systems • Material above or below the focal plane are not illuminated  no out-of-focus blur & no out-of-focus bleaching • Simple collection optics images illuminated area onto a camera • Rotation  different angles of view  3D tomographic image reconstruction

  16. Solution 2: Ultramicroscopy 3D reconstruction Mouse embryo E12.5. (A) Surface (B) Stained nerve fibers (C) Surface of head(D) Sensory nerve fibers innervating the vibrissae. Because the mouse embryos are opaque, a special clearing technique is applied: Index matching:2 parts benzyl benzoate and one part benzyl alcohol).

  17. Overview: Direct Imaging • Stimulated Emission Depletion Microscopy • Pointillism, PALM and STORM • Selective Plane Illumination Microscopy • Structured Illumination • Circumventing the limit: Nonlinearity • Interferometric Resolution Enhancement

  18. x,y a z NA = n sin a Problem: Limited Numerical Aperture Objective Lense Immersion Medium Cover Slip Immersion Medium Cell Slide

  19. Aperture increaseby rotation of the specimen x,y z Solution: Axial Tomography Objective Lense Immersion Medium Cover Slip Immersion Medium Cell Glass Fiber Shaw et al., Cogswell et al.,Kawata et al., Heintzmann et al.

  20. Reconstructed Estimate View 1 View 2 Apply Measured Convolution Register , , Back Convolution View 1 View 2 C NC Ei Simulated Mi Combined ML-Deconvolution Compare

  21. Biological Specimen Moss Spore Polytrichum Commune Fully automatically registered R. Heintzmann and C. Cremer., J. Microsc., 206 (1),7-23, 2002

  22. Biological Specimen Moss Spore Fully automatically registered Polytrichum Commune

  23. Solution 2: Ultramicroscopy • Much lessout-of-focus bleach • complicated sample mount • Absorption/scatteringlosscanbe a problem(excitationandemisission) • combinations (2-photon excitation) withstructuredilluminationorsweptlineilluminationarepossible

  24. Solution 3: Aberration Correction Pre-compensation element (SLM) • Quality improvement is often only moderate • Estimation of aberrations is difficult and time consuming(Selective Aperture, iterative procedure, ..) • spatially varying aberrations are very hard

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