Advances and challenges in label-free nonlinear optical imaging using two-photon excitation fluorescence and second harmonic generation for cancer research

Thomas, Giju; Voskuilen, Johan van; Gerritsen, Hans C.; Sterenborg, Henricus J. C. M.

doi:10.1016/j.jphotobiol.2014.08.025

Cited by 52 publications

(48 citation statements)

References 143 publications

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“…This multimodal capability allows for two-photon excited fluorescence microscopy to be combined with SHG (Mohler, Millard, & Campagnola, 2003; Thomas, van Voskuilen, Gerritsen, & Sterenborg, 2014). In our laboratory, fresh peritoneal tissues containing RFP-tagged ovarian cancer cells can be imaged to visualize the interaction between tumor cells and the surrounding collagen-rich matrix.…”

Section: Advanced Imaging For Visualization Of Collagen and Other Ecmmentioning

confidence: 99%

Methods for the visualization and analysis of extracellular matrix protein structure and degradation

Léonard

Loughran

Klymenko

et al. 2018

Methods in Cell Biology

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This chapter highlights methods for visualization and analysis of extracellular matrix (ECM) proteins, with particular emphasis on collagen type I, the most abundant protein in mammals. Protocols described range from advanced imaging of complex in vivo matrices to simple biochemical analysis of individual ECM proteins. The first section of this chapter describes common methods to image ECM components and includes protocols for second harmonic generation, scanning electron microscopy, and several histological methods of ECM localization and degradation analysis, including immunohistochemistry, Trichrome staining, and in situ zymography. The second section of this chapter details both a common transwell invasion assay and a novel live imaging method to investigate cellular behavior with respect to collagen and other ECM proteins of interest. The final section consists of common electrophoresis-based biochemical methods that are used in analysis of ECM proteins. Use of the methods described herein will enable researchers to gain a greater understanding of the role of ECM structure and degradation in development and matrix-related diseases such as cancer and connective tissue disorders.

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Section: Advanced Imaging For Visualization Of Collagen and Other Ecmmentioning

confidence: 99%

Methods for the visualization and analysis of extracellular matrix protein structure and degradation

Léonard

Loughran

Klymenko

et al. 2018

Methods in Cell Biology

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“…As multimodal detection schemes can be realized to simultaneously register SHG, TPEF and CARS images, they are presented together. Developments of coherent Raman scattering imaging for biomedical applications and advances in SHG and TPEF for cancer research were summarized.…”

Section: Multiphoton Techniquesmentioning

confidence: 99%

Modern trends in biophotonics for clinical diagnosis and therapy to solve unmet clinical needs

Krafft

2016

Journal of Biophotonics

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This contribution covers recent original research papers in the biophotonics field. The content is organized into main techniques such as multiphoton microscopy, Raman spectroscopy, infrared spectroscopy, optical coherence tomography and photoacoustic tomography, and their applications in the context of fluid, cell, tissue and skin diagnostics. Special attention is paid to vascular and blood flow diagnostics, photothermal and photodynamic therapy, tissue therapy, cell characterization, and biosensors for biomarker detection.

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“…This technique allows to investigate the distribution of lipids/protein, endogenous fluorophores, and collagen simultaneously . Further, it is label‐free and noninvasive, which makes it a suitable method for in vivo measurements and for clinical cancer research . Additional advantages of multimodal imaging include molecular contrast and subcellular resolution, which are perfectly suited for tissue diagnostics .…”

Section: Introductionmentioning

confidence: 99%

“…7,8 Further, it is labelfree and noninvasive, which makes it a suitable method for in vivo measurements and for clinical cancer research. [9][10][11] Additional advantages of multimodal imaging include molecular contrast and subcellular resolution, which are perfectly suited for tissue diagnostics. 12 Therefore, the technique has already been applied to the examination of brain tissue, 13 larynx carcinoma, 14,15 lung tissue, 16 atherosclerotic lesions, 17 and inflammatory bowel disease (IBD).…”

Section: Introductionmentioning

confidence: 99%

Multimodal image analysis in tissue diagnostics for skin melanoma

Guo

Pfeifenbring

Meyer

et al. 2017

Journal of Chemometrics

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Early diagnosis is a corner stone for a successful treatment of most diseases including melanoma, which cannot be achieved by traditional histopathological inspection. In this respect, multimodal imaging, the combination of TPEF and SHG, features a high diagnostic potential as an alternative approach.Multimodal imaging generates molecular contrast, but to use this technique in clinical practice, the optical signals must be translated into diagnostic relevant information. This translation requires automatic image analysis techniques. Within this contribution, we established an analysis pipeline for multimodal images to achieve melanoma diagnostics of skin tissue. The first step of the image analysis was the pre-treatment, where the mosaicking artifacts were corrected and a standardization was performed. Afterwards, the local histogram-based first-order texture features and the local gray-level co-occurrence matrix (GLCM) texture features were extracted in multiple scales. Thereafter, we constructed a local hierarchical statistical model to distinguish melanoma, normal epithelium, and other tissue types. The results demonstrated the capability of multimodal imaging combined with image analysis to differentiate different tissue types. Furthermore, we compared the histogram and the GLCM-based texture feature sets according to the Fisher's discriminant ratio (FDR) and the prediction of the classification, which demonstrated that the histogram-based texture features are superior to the GLCM features for the given task. Finally, we performed a global classification to achieve a patient diagnostics with the clinical diagnosis as ground truth. The agreement of the prediction and the clinical results demonstrated the great potential of multimodal imaging for melanoma diagnostics.

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Advances and challenges in label-free nonlinear optical imaging using two-photon excitation fluorescence and second harmonic generation for cancer research

Cited by 52 publications

References 143 publications

Methods for the visualization and analysis of extracellular matrix protein structure and degradation

Methods for the visualization and analysis of extracellular matrix protein structure and degradation

Modern trends in biophotonics for clinical diagnosis and therapy to solve unmet clinical needs

Multimodal image analysis in tissue diagnostics for skin melanoma

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