Evidence map›Paper›PMID 40861263›Full record

ArticleACS photonics2025

Application-Specific Optimization of Integrated Spectral Sensors.

D M J van Elst, A van Klinken, M S Cano-Velázquez, F Ou, C Li, K D Hakkel, M Petruzzella, F Pagliano, R P J van Veldhoven, A Fiore

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS photonics, 2025. 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. Advances in Miniaturized Computational Spectrometers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
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

10 authors.

D M J van ElstDepartment of Applied Physics and Science Education, Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, NL 5600 MB, Eindhoven, The Netherlands.ORCID https://orcid.org/0000-0002-0228-1390
A van KlinkenDepartment of Applied Physics and Science Education, Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, NL 5600 MB, Eindhoven, The Netherlands.
M S Cano-VelázquezDepartment of Applied Physics and Science Education, Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, NL 5600 MB, Eindhoven, The Netherlands.ORCID https://orcid.org/0000-0002-9128-0161
F OuDepartment of Applied Physics and Science Education, Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, NL 5600 MB, Eindhoven, The Netherlands.
C LiDepartment of Applied Physics and Science Education, Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, NL 5600 MB, Eindhoven, The Netherlands.
K D HakkelDepartment of Applied Physics and Science Education, Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, NL 5600 MB, Eindhoven, The Netherlands.
M PetruzzellaDepartment of Applied Physics and Science Education, Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, NL 5600 MB, Eindhoven, The Netherlands.
F PaglianoDepartment of Applied Physics and Science Education, Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, NL 5600 MB, Eindhoven, The Netherlands.
R P J van VeldhovenDepartment of Applied Physics and Science Education, Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, NL 5600 MB, Eindhoven, The Netherlands.
A FioreDepartment of Applied Physics and Science Education, Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, NL 5600 MB, Eindhoven, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Near-infrared spectral sensing serves as a powerful technique for nondestructive analysis of material composition in a wide field of applications. A typical spectral sensor comprises an array of detectors, each with a response in a certain spectral band. We demonstrate an algorithm capable of tailoring these sensors for a specific near-infrared spectroscopy application by optimizing for all possible combinations of spectral bands. This approach outperforms manually selected designs, achieving high sensing performance even with just a few pixels. The results are confirmed by experiments on fabricated four-pixel devices, which feature a sensing accuracy exceeding the one of general-purpose sensors for a problem of practical relevance. This approach may enable cost-effective spectral sensors with simple read-out mechanisms for industrial and consumer applications.

Indexed as

integrationnear-infraredoptical sensorsparticle swarm optimizationspectral sensingspectrometry

Identifiers

PMID40861263
PMCPMC12372167

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.