Journal Article Research Support, Non-U.S. Gov't Ppublish 1 citation
PubMed: 39706584 DOI: 10.1021/acssensors.4c01732
To Acquire or Not to Acquire: Evaluating Compressive Sensing for Raman Spectroscopy in Biology.
ACS Sens 10(1):175-184
Authors: Piyush Raj, Lintong Wu, Jeong Hee Kim, Raj Bhatt, Kristine Glunde, Ishan Barman
Affiliations
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
- Hackensack Meridian School of Medicine, Nutley, New Jersey 07110, United States.
- The Russell H. Morgan Department of Radiology and Radiological Science,The Johns Hopkins University, School of Medicine, Baltimore, Maryland 21205, United States.
- Department of Biological Chemistry, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.
- The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, United States.
Abstract
Raman spectroscopy has revolutionized the field of chemical biology by providing detailed chemical and compositional information with minimal sample preparation. Despite its advantages, the technique suffers from low throughput due to the weak Raman effect, necessitating long acquisition times and expensive equipment. This limitation is particularly acute in time-sensitive applications like bioprocess monitoring and dynamic studies. Compressive sensing offers a promising solution by reducing the burden on measurement hardware, lowering costs, and decreasing measurement times. It allows for the collection of sparse data, which can be computationally reconstructed later. This paper explores the practical application of compressive sensing in spontaneous Raman spectroscopy across various biological samples. We demonstrate its benefits in scenarios requiring portable hardware, rapid acquisition, and minimal storage, such as skin hydration prediction and cellular studies involving drug molecules. Our findings highlight the potential of compressive sensing to overcome traditional limitations of Raman spectroscopy, paving the way for broader adoption in biological research and clinical diagnostics.
MeSH
Research Design, Miniaturization