Evidence map›Paper›PMID 40835824›Full record

ArticleLight, science & applications2025

Infrared visualized snakes-inspired artificial vision systems with CMOS sensors-integrated upconverters.

Ge Mu, Yangye Lin, Kerui Fu, Xin Tang

Abstract read
In one paragraph

Article in Light, science & applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. CMOS-Integrated Synaptic Photoreceptor Chip Inspired by Insect Visual Processing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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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

4 authors.

Ge MuSchool of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China. gemu@bit.edu.cn.ORCID http://orcid.org/0000-0001-6391-9725
Yangye LinSchool of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China.
Kerui FuSchool of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China.
Xin TangSchool of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China. xintang@bit.edu.cn.ORCID http://orcid.org/0000-0003-0008-207X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological visions have inspired the development of artificial vision systems with diverse visual functional traits, however, the detected wavelength is only in visible light between 0.4 and 0.78 μm, restricting their applications. Snakes generate a thermal image of animals due to pit organs for detecting and converting infrared, allowing them to accurately target predators or prey even under darkness. Inspired by natural infrared visualized snakes, we propose artificial vision systems with CMOS sensors-integrated upconverters to break visible light limitations to realize 3840 × 2160 ultra-high-resolution short-wave infrared (SWIR) and mid-wave infrared (MWIR) visualization imaging for the first time. Through colloidal quantum dot barrier heterojunction architecture design of infrared detecting units and the introduction of co-hosted emitting units, the luminance and upconversion efficiency reach up to 6388.09 cd m

Identifiers

PMID40835824
PMCPMC12368111

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.