Presentation
9 March 2020 Fast and high-sensitivity chemical imaging via compressive Raman microspectroscopy (Conference Presentation)
Author Affiliations +
Abstract
Raman imaging is recognized as a powerful label-free approach to provide contrasts based on chemical selectivity. Nevertheless, Raman-based microspectroscopy has drawbacks mostly due to its inherent overwhelming data size, which slows imaging speeds, and non-trivial post-processing, in particular for non-specialists in vibrational spectroscopy. In parallel, compressive sensing has shown a paradigm shift approach where one can computationally reconstruct accurate information from highly undersampled data. Following the compressive sensing spirit, compressive Raman microspectroscopy has emerged as a potential approach to speed up the imaging and concomitantly simplify the post-processing analysis. In this contribution, I will discuss the concepts and assumptions in compressive Raman, in particular focusing on current challenges for fast and high-sensitivity imaging of challenging biological specimens.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hilton Barbosa de Aguiar "Fast and high-sensitivity chemical imaging via compressive Raman microspectroscopy (Conference Presentation)", Proc. SPIE 11284, Smart Photonic and Optoelectronic Integrated Circuits XXII, 112841S (9 March 2020); https://doi.org/10.1117/12.2546262
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KEYWORDS
Imaging spectroscopy

Raman spectroscopy

Compressed sensing

Data acquisition

Data storage

Spectroscopy

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