Evidence map›Paper›PMID 42525739›Full record

ArticleScience advances2026

Multispectral infrared-to-full-color upconversion expanding human vision.

Chengchang Fu, Jintao Zou, Xiaoxue Yang, Qun Hao, Xin Tang, Ge Mu

Abstract read
In one paragraph

Article in Science advances, 2026. 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.

Chengchang FuSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.ORCID 0009-0003-6920-8379
Jintao ZouSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.
Xiaoxue YangSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.
Qun HaoSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0002-9819-731X
Xin TangSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0003-0008-207X
Ge MuSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0001-6391-9725

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human visual system is inherently blind to infrared radiation due to the insufficient energy of infrared photons to trigger the photoisomerization of the retinal chromophore, resulting in the loss of over half of the solar spectrum. Here, we report a colloidal quantum dot (CQD)-based infrared-to-visible upconverter that enables ultrasensitive upconversion of multispectral infrared light radiation as full-color visible vision. The photon-energy-selective excitonic transitions in quantum-confined states and the photon flux, respectively, enable infrared wavelength- and intensity-dependent number of photogenerated carriers. A dual-emissive-layer organic architecture with the strategically engineered hole-injection barrier could route these carriers into distinct color emission channels, resulting in correlated wavelength/intensity-to-color/luminance mapping. This paradigm shift yields a discrimination sensitivity for subtle infrared variations exceeding more than two orders of magnitude higher than conventional single-color modes, capitalizing on the human eye's intrinsic superiority in chromatic differentiation over only brightness contrast. The resulting upconverter exhibits broadband detection extending beyond 2 μm, luminance exceeding 700 cd m

Indexed as

Color VisionInfrared RaysQuantum DotsVision, OcularColorHumansPhotons

Identifiers

PMID42525739
PMCPMC13418540

What OpenQuestion holds

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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.