Evidence map›Paper›PMID 39718846›Full record

ArticleOptics letters2025

Dual-angle light scattering spectroscopy for calibration-free measurements of scatterer suspensions.

Xuejun Zhang, Paul K Upputuri, Mark F Coughlan, David J Kemble, Umar Khan, Yuri N Zakharov, Lei Zhang, Lev T Perelman, Le Qiu

Abstract read
In one paragraph

Article in Optics letters, 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

9 authors.

Xuejun Zhang
Paul K Upputuri
Mark F Coughlan
David J Kemble
Umar Khan
Yuri N Zakharov
Lei Zhang
Lev T Perelman
Le Qiu

Funding

Endoscopic Fine-Needle Polarized Scanning Spectroscopy for Pancreatic Cystic Lesions DiagnosisR01EB025173 · NIBIB · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Lev T Perelman · 2017 to 2026
$4.7M
Spectro-Holographic Instrument for Dynamic Sensing of Cancer ProgressionR01CA228029 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI PERELMAN, LEV T · 2018 to 2023
$3.4M
Multispectral imaging of bile duct epithelial morphology for early detection of malignancyR01CA293050 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Lev T Perelman · 2024 to 2026
$2.1M
A lab-on-a-chip device for measuring multiple biochemical and biophysical biomarkers of Alzheimer’s diseaseR21AG085089 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Mark Coughlan · 2024 to 2026
$668k
NCI NIH HHS R01 CA228029NCI NIH HHS R01 CA293050NIA NIH HHS R21 AG085089NIBIB NIH HHS R01 EB025173
6 · The paper itself

Abstract

It can be difficult to employ optical techniques for analyzing biological structures smaller than or comparable to the wavelength of light, such as extracellular vesicles or some types of bacteria. Biological light scattering spectroscopy (LSS), developed to address this problem, has been successfully used for characterizing tissue on cellular and subcellular scales. At the same time, calibration with a reference sample of known optical properties can complicate LSS measurements. In this Letter, we present dual-angle LSS (daLSS), which is designed for calibration-free measurements of scatterer suspensions. It employs measurements of a sample at two distinct angles, which then allows system effects to be removed entirely. Not only does daLSS simplify and speed up the measurement procedure, but it also makes spectra more reproducible, an important feature for diagnostic techniques. We validated the technique by accurately reconstructing the sizes of polystyrene microspheres with diameters less than 100 nm and then demonstrated that not only are the daLSS spectra of several common bacteria strains easily distinguishable but they are also highly reproducible.

Identifiers

PMID39718846
PMCPMC11891018

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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.