We have integrated tissue quantitative phase imaging with Raman spectroscopy, and used it for analyzing benign and malignant cancer tissue samples without staining. We used the acquired stain-free OPD-based texture features of the tissues and deep learning to segment the urothelium layers, where cancer starts from, with the stained tissue as a ground-truth for training. Then, location-guided Raman spectroscopy measurements were acquired from the urothelium according to the segmentation results. We then classified the tissue type based on the location-guided Raman spectroscopy measurement with higher accuracy compared to classifying them without urothelium segmentation.
We propose a multimodal quantitative, label-free and nondestructive diagnostic metrology technique by integrating off-axis interferometric phase microscopy (IPM) and Raman spectroscopy (RS), for analyzing normal and malignant bladder tissue samples. We built a Mach–Zehnder interferometer connected to a commercial confocal microscope for imaging a large area of tissue slices, up to a few millimeters, by semi-automatic scanning of the tissue. Bright-field image of hematoxylin and eosin stained tissue slice of the same area was also acquired. Measurements of Raman spectra were acquired using our RS system with excitation wavelength of 561 nm. Using the quantitative phase information, we obtained various spatial and morphological parameters of the tissues such as the anisotropy factor, which demonstrated their direct correlation with tumor presence. This method is expected to be useful for stain-free cancer diagnosis, while obtaining both quantitative information about tissue morphological modifications and changes in tissue Raman scattering properties induced by cancer.
We propose a multimodal quantitative imaging technique by integrating off-axis interferometric phase microscopy (IPM) and fluorescence microscopy, for measuring morphological changes of cells induced by hyper-osmotic pressure.
Based on the collected data, we calculated the temporal dependence of various physiological parameters during osmotic pressure induced by the cell surrounding-medium change. This technique is expected to be a useful for observing the dynamics of live cells, while obtaining both quantitative imaging capabilities and molecular specificity of specific cellular organelles.
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