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Adaptive Compressive Sampling for Mid-infrared Spectroscopic Imaging

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Document pages: 4 pages

Abstract: Fourier transform infrared (FTIR) spectroscopy enables label-free molecularidentification and quantification of biological specimens. The resolution ofdiffraction limited FTIR imaging is poor due to the long optical wavelengths(2.5{ mu}m to 12.5{ mu}m)used and this is particularly limiting in biomedicalimaging. Photothermal imaging overcomes this diffraction limit by using amultimodal pump probe approach. However, these measurements requireapproximately 1 s per spectrum, making them impractical for large samples. Thispaper introduces an adaptive compressive sampling technique to dramaticallyreduce hyperspectral data acquisition time by utilizing both spectral andspatial sparsity. This method identifies the most informative spatial andspectral features and integrates a fast tensor completion algorithm toreconstruct megapixel-scale images and demonstrates speed advantages over FTIRimaging

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