Dynamic micro-optical coherence tomography (DµOCT) is a technology that is capable of interrogating intracellular dynamics in intact, viable tissues. Towards our goal of advancing DµOCT for phenotyping cells, we imaged freshly excised human biopsies and performed correlative studies with histological results. To date, more than 30 biopsies from 17 patients with numerous types of gastrointestinal pathologies, including cancer, diverticulitis, and Crohn’s disease were imaged. In addition, using mouse models, we performed DµOCT imaging studies on tumors locally treated with chemotherapeutics delivered via custom implantable microdevices to observe the impact of those drugs on the tumor. Cyclical immunofluorescence staining was used to co-register ~20 markers on the same cross-sectional plane. We further demonstrate the utility of principal component analysis, K-means clustering, and convolutional long short-term memory (ConvLSTM) neural network for expanding the capabilities of DµOCT.
Micro-Optical Coherence Tomography (μOCT) enables non-invasive, label-free cross-sectional imaging with subcellular resolution and extended depth of focus. However, μOCT provides limited sensitivity and specificity to the molecular and genomic signatures. The combination of µOCT and Fluorescence Confocal Microscopy (FCM) would improve our capability to interrogate biological specimens. We built and characterized a µOCT-FCM that enables colocalized imaging of µOCT and fluorescence signals. Depth scanning in the fluorescence channel was enabled by using an electronically tunable lens. We report the optical design, system-level integration, and characterization, and demonstrate the quantification of pH of airway mucus in a spatially resolved manner in cell cultures and ex-vivo swine tissue.
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