<i>In vivo</i> optical monitoring of tissue pathologies and diseases with vibrational contrast

Bégin, Steve; Bélanger, Erik; Laffray, Sophie; Vallée, Réal; Côté, Daniel

doi:10.1002/jbio.200910071

Cited by 36 publications

(24 citation statements)

References 56 publications

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“…Being a nonlinear optical microscopy, it offers 3D sectioning capability with a diffraction-limited spatial resolution. SRS microscopy has been extensively applied to image biomolecules in cells and tissues (9)(10)(11)(12)(13)(14)(15).…”

mentioning

confidence: 99%

Label-free DNA imaging in vivo with stimulated Raman scattering microscopy

Lü

Basu

Igras

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

252

213

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Label-free DNA imaging is highly desirable in biology and medicine to perform live imaging without affecting cell function and to obtain instant histological tissue examination during surgical procedures. Here we show a label-free DNA imaging method with stimulated Raman scattering (SRS) microscopy for visualization of the cell nuclei in live animals and intact fresh human tissues with subcellular resolution. Relying on the distinct Raman spectral features of the carbon-hydrogen bonds in DNA, the distribution of DNA is retrieved from the strong background of proteins and lipids by linear decomposition of SRS images at three optimally selected Raman shifts. Based on changes on DNA condensation in the nucleus, we were able to capture chromosome dynamics during cell division both in vitro and in vivo. We tracked mouse skin cell proliferation, induced by drug treatment, through in vivo counting of the mitotic rate. Furthermore, we demonstrated a label-free histology method for human skin cancer diagnosis that provides comparable results to other conventional tissue staining methods such as H&E. Our approach exhibits higher sensitivity than SRS imaging of DNA in the fingerprint spectral region. Compared with spontaneous Raman imaging of DNA, our approach is three orders of magnitude faster, allowing both chromatin dynamic studies and label-free optical histology in real time.

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mentioning

confidence: 99%

Label-free DNA imaging in vivo with stimulated Raman scattering microscopy

Lü

Basu

Igras

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

252

213

View full text Add to dashboard Cite

show abstract

“…the main component in lipids. Revealing the lipid distribution by CARS microscopy offers great potential for both ex vivo [44][45][46] and in vivo clinical diagnostics [47,48]. Aside from lipids other relevant molecules yield good CARS image contrast, e.g.…”

Section: Introductionmentioning

confidence: 99%

From molecular structure to tissue architecture: collagen organization probed by SHG microscopy

Cicchi

Vogler

Kapsokalyvas

et al. 2012

Journal of Biophotonics

170

132

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Second‐harmonic generation (SHG) microscopy is a fantastic tool for imaging collagen and probing its hierarchical organization from molecular scale up to tissue architectural level. In fact, SHG combines the advantages of a non‐linear microscopy approach with a coherent modality able to probe molecular organization. In this manuscript we review the physical concepts describing SHG from collagen, highlighting how this optical process allows to probe structures ranging from molecular sizes to tissue architecture, through image pattern analysis and scoring methods. Starting from the description of the most relevant approaches employing SHG polarization anisotropy and forward – backward SHG detection, we then focus on the most relevant methods for imaging and characterizing collagen organization in tissues through image pattern analysis methods, highlighting advantages and limitations of the methods applied to tissue imaging and to potential clinical applications. (© 2013 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)

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“…Myelin was visualized with coherent anti-Stokes Raman scattering (CARS) microscopy, a label-free technique that takes advantage of the endogenous contrast provided by the lipid content of myelin [8][9][10]. CARS imaging of spinal tissue has been first reported in 2005 by Wang et al [11].…”

Section: Introductionmentioning

confidence: 99%

Local assessment of myelin health in a multiple sclerosis mouse model using a 2D Fourier transform approach

Bégin

Bélanger

Laffray

et al. 2013

Biomed. Opt. Express

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Abstract:We present an automated two-dimensional Fourier transform (2D-FT) approach to analyze the local organization of myelinated axons in the spinal cord. Coherent anti-Stokes Raman scattering (CARS) microscopy was used to observe lesions in a commonly used animal model of multiple sclerosis (MS), experimental autoimmune encephalomyelitis (EAE). A 2D-FT was applied on the CARS images to find the average orientation and directional anisotropy of the fibers within contiguous image domains. We introduce the corrected correlation parameter (CCP), a measure of the correlation between orientations of adjacent domains. We show that in the EAE animal model of MS, the CCP can be used to quantify the degree of organization/disorganization in the myelin structure. This analysis was applied to a large image dataset from animals at different clinical scores and we show that some descriptors of the CCP probability density function are strongly correlated with the clinical scores. This procedure, compatible with live animal imaging, has been developed to perform local in situ evaluation of myelinated axons afflicted by EAE. Anal. Chem. 36, 1627-1639 (1964). 29. P. L. Rosin, "Measuring shape: ellipticity, rectangularity, and triangularity," Mach. Vis. Appl. 14, 172-184 (2003). 30. J. Flusser and T. Suk, "Pattern recognition by affine moment invariants," Pattern Recogn. 26, 167-174 (1993).

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In vivo optical monitoring of tissue pathologies and diseases with vibrational contrast

Cited by 36 publications

References 56 publications

Label-free DNA imaging in vivo with stimulated Raman scattering microscopy

Label-free DNA imaging in vivo with stimulated Raman scattering microscopy

From molecular structure to tissue architecture: collagen organization probed by SHG microscopy

Local assessment of myelin health in a multiple sclerosis mouse model using a 2D Fourier transform approach

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