Will be developed using microsystems technologies for real time in vivo imaging. The small dimensions allows for use in the distal end of microendoscopes to control the focus. Images can be collected in vivo in either vertical or horizontal planes. The vertical orientation is best suited to visualize the natural progression of normal development and many disease processes, and provides the same view as that of histology. Devices can be controlled to accurately direct a reflector to user-defined positions and image sub-regions in a random access manner to improve SNR, contrast, and frame rate 

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Will be assembled to access to target tissues with minimal invasiveness. These flexible fiber-coupled instruments will be scaled down in diameter to millimeter dimensions. Clinical translation will be achieved by passing forward through the working channel of standard medical endoscopes. Use of microsystems scanning mechanisms allows for placement in the post-objective position to allow the instrument to be scaled down in diameter without loss of resolution. Multiple fluorescence images can be collected concurrently to observe interactions among different cell populations. 

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Will be leveraged to comprehensively track the spatial and temporal behaviors, movements, and interactions of individual cells. Deep learning algorithms can distinguish contributions from unique cell populations to monitor specific molecular events. Spectral deconvolution methods can accurately interpret the multi-spectral fluorescence images. Motion artifacts can be mitigated in images collected from live animals and human subjects. The effective image field-of-view (FOV) can be expanded by multiple folds by stitching adjacent images.

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