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

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