Evidence map›Paper›PMID 39706584›Full record

ArticleACS sensors2025

To Acquire or Not to Acquire: Evaluating Compressive Sensing for Raman Spectroscopy in Biology.

Piyush Raj, Lintong Wu, Jeong Hee Kim, Raj Bhatt, Kristine Glunde, Ishan Barman

Abstract read
In one paragraph

Article in ACS sensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Piyush RajDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID 0000-0002-1488-9475
Lintong WuDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
Jeong Hee KimDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID 0000-0001-5689-1445
Raj BhattHackensack Meridian School of Medicine, Nutley, New Jersey 07110, United States.ORCID 0009-0008-1420-4983
Kristine GlundeThe Russell H. Morgan Department of Radiology and Radiological Science,The Johns Hopkins University, School of Medicine, Baltimore, Maryland 21205, United States.
Ishan BarmanDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID 0000-0003-0800-0825

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BiologySpectrum Analysis, RamanAnimalsCellsTissueschemical biologycompressive sensingminiaturizationRaman spectroscopysparse data

Identifiers

PMID39706584
PMCPMC11773570

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.