Presentation
6 March 2023 Uncovering new utility in infrared spectroscopic imaging by pushing the limits of accuracy, speed, and resolution
Author Affiliations +
Abstract
Infrared spectroscopic imaging combines the ability to record molecular content with the ability to visualize chemistry in its spatial diversity. Given the need to record a significantly larger quantity of data than a typical microscopy image (MB vs. GB) and the extensive bandwidth of the spectra (~10 m), trade-offs often have to be made between the closely related considerations of signal to noise ratio, spatial-spectral coverage, resolution and optical arrangements. Here, we present a path from rigorous theory to modeling and design to realizing the advantages offered by new ideas on fundamentally changing these trade-offs. We first describe a new microscope design for increased speed and rapid coverage that is useful for biomedical and clinical tissue imaging. Next, we describe a configuration to measure chirality in samples that promises higher spectral information that present methods. Finally, we present a new approach to nanoscale IR imaging that provides greater fidelity and speed at unprecedented levels of signal to noise ratio. Finally, we show how emerging machine learning approaches can further augment these advances. For each instrumentation advance, examples of use cases will be presented.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rohit Bhargava, Kevin L. Yeh, Seth Kenkel, Yamuna Dilip Phal, Ruo-Jing Ho, and Kianoush Falahkheirkhah "Uncovering new utility in infrared spectroscopic imaging by pushing the limits of accuracy, speed, and resolution", Proc. SPIE PC12373, Optical Biopsy XXI: Toward Real-Time Spectroscopic Imaging and Diagnosis, PC1237303 (6 March 2023); https://doi.org/10.1117/12.2659474
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