To Acquire or Not to Acquire: Evaluating Compressive Sensing for Raman Spectroscopy in Biology
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.
Authors
- Piyush Raj (ORCID: https://orcid.org/0000-0002-1488-9475)
- Jeong Hee Kim (ORCID: https://orcid.org/0000-0001-5689-1445)
- Lintong Wu (ORCID: https://orcid.org/0000-0003-2534-0768)
- Kristine Glunde (ORCID: https://orcid.org/0000-0002-5067-2724)
- Ishan Barman (ORCID: https://orcid.org/0000-0003-0800-0825)
- Raj B. Bhatt (ORCID: https://orcid.org/0009-0008-1420-4983)
Institutions
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- Center for Discovery (US)
- Sidney Kimmel Comprehensive Cancer Center (US)
Publication Details
- Journal
- ACS Sensors
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1021/acssensors.4c01732
- Citations
- 1
- Primary Topic
- Spectroscopy Techniques in Biomedical and Chemical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.66
Funders
- Bill and Melinda Gates Foundation
- Oracle