Evidence map›Paper›PMID 42145677›Full record

ArticleBiomedical optics express2026

Efficient algorithm for optimal wavelength selection in photoacoustic spectral unmixing.

Calvin Smith, Andrew Langley, Deeksha Sankepalle, Srivalleesha Mallidi, Brett E Bouma, David Veysset

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Calvin SmithWellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, Boston, MA 02114, USA.
Andrew LangleyDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.
Deeksha SankepalleDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.
Srivalleesha MallidiDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.ORCID https://orcid.org/0000-0003-1547-1764
Brett E BoumaWellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, Boston, MA 02114, USA.
David VeyssetWellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, Boston, MA 02114, USA.ORCID https://orcid.org/0000-0003-4473-1983

Funding

TRD3: Percutaneous and Interstitial ImagingP41EB015903 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Jacqueline Namati · 2012 to 2026
$22.4M
Image-guided oxygen enhanced photodynamic therapy with multi-functional nanodroplets to improve head and neck cancer treatment outcomesR01CA266701 · NCI · TUFTS UNIVERSITY MEDFORD · PI Srivalleesha Mallidi · 2022 to 2026
$1.7M
NCI NIH HHS R01 CA266701NIBIB NIH HHS P41 EB015903
6 · The paper itself

Abstract

We present a method for numerically determining the optimal wavelengths to perform spectral unmixing in photoacoustic experiments. The proposed method employs a rugged-landscape-model-inspired stochastic hill-climbing approach that can reliably and efficiently converge to near-optimal wavelength selections. Compared to current methods, the algorithm consistently achieves superior spectral unmixing accuracy, as is demonstrated on synthetic and experimental data, while maintaining equivalent or faster run times, particularly in broad spectral ranges. The algorithm's adaptability with respect to computational efficiency makes it effective for both targeted offline wavelength optimization and opens up prospects for time-critical, real-time wavelength correction.

Identifiers

PMID42145677
PMCPMC13178627

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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.