Multiresolution bioinspired cross-polarized imaging and biostatistics of lung cancer tissue samples

Bauman, Gloria; Shrestha, Suman; Mallinson, Kiera; Giakos, Zoe; Surovich, Michael; Wang, Yi; Livanos, George; Zervakis, Michalis; Ying, Nie; Giakos, G.C.

doi:10.1109/ist.2017.8261458

Cited by 1 publication

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“…As a result, under backscattered geometry, multiple kinds of early-stage malignancies (cancer) could be discriminated, considering and quantifying their unique diffuse reflectance polarimetric signatures. Another related method uses polarimetric discrimination of the wavelet-fractal domain for histological analysis of monolayer lung cancer cells [31,32]. Wavelet polarimetric evaluation of healthy, squamous carcinoma, and adenocarcinoma lung tissue cell lines proves quite promising and reliable in accurately and robustly classifying cells as healthy or cancerous ones, in conjunction with proper discrimination between malignant cells originating from different types of lung cancer [32].…”

Section: Literature Reviewmentioning

confidence: 99%

Fluorescent Imaging and Multifusion Segmentation for Enhanced Visualization and Delineation of Glioblastomas Margins

Deshpande

Cambria

Barnes

et al. 2021

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This study investigates the potential of fluorescence imaging in conjunction with an original, fused segmentation framework for enhanced detection and delineation of brain tumor margins. By means of a test bed optical microscopy system, autofluorescence is utilized to capture gray level images of brain tumor specimens through slices, obtained at various depths from the surface, each of 10 µm thickness. The samples used in this study originate from tumor cell lines characterized as Gli36ϑEGRF cells expressing a green fluorescent protein. An innovative three-step biomedical image analysis framework is presented aimed at enhancing the contrast and dissimilarity between the malignant and the remaining tissue regions to allow for enhanced visualization and accurate extraction of tumor boundaries. The fluorescence image acquisition system implemented with an appropriate unsupervised pipeline of image processing and fusion algorithms indicates clear differentiation of tumor margins and increased image contrast. Establishing protocols for the safe administration of fluorescent protein molecules, these would be introduced into glioma tissues or cells either at a pre-surgery stage or applied to the malignant tissue intraoperatively; typical applications encompass areas of fluorescence-guided surgery (FGS) and confocal laser endomicroscopy (CLE). As a result, this image acquisition scheme could significantly improve decision-making during brain tumor resection procedures and significantly facilitate brain surgery neuropathology during operation.

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Section: Literature Reviewmentioning

confidence: 99%