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Quantum dot-enabled infrared hyperspectral imaging with single-pixel detection.

Meng H, Gao Y, Wang X, Li X, Wang L, Zhao X, Sun B. · Light, science & applications · 2024 · Journal publication

Original publication · Original publication · Original publication

Recorded summary

The laboratory system combines quantum-dot filters, a digital micromirror device and a single-pixel detector to reconstruct near-infrared spectral images.

Recorded limitations

The demonstrated performance belongs to this optical hardware and reconstruction method; it is not an unmodified smartphone RGB camera.

Evidence and provenance

Chapter Trust Factor uses a minimum of three distinct qualifying studies. Publication records retain their own evidence and assessment.

Study design and assessment
design
Journal publication
assessment
Not recorded
trust Factor
scope
Paper
status
unassessed
score
Not recorded
basis
Bibliographic identity checks do not establish study design, blinding or evidential strength.
jadad
status
unassessed
score
Not recorded
evidence
Not recorded
Topics and recorded topic scores
  1. key
    general:imaging-evolution
    title
    Evolution of Hyperspectral, Smartphone and Infrared Technologies
    collection
    general
    trust Score
    Not recorded
Citation snapshot and identifiers
id
hsi-c2365ea769851d
doi
10.1038/s41377-024-01476-4
pmid
38802359
citation Snapshot
Not recorded
citations By Collection
general
Not recorded
Complete approved library record
id
hsi-c2365ea769851d
aliases
None recorded
source References
  1. ref
    NPL-152
    record Id
    hsi-c2365ea769851d
    source Type
    Journal publication
    title
    Quantum dot-enabled infrared hyperspectral imaging with single-pixel detection.
    authors
    Meng H, Gao Y, Wang X, Li X, Wang L, Zhao X, Sun B.
    year
    2024
    journal
    Light, science & applications
    doi
    10.1038/s41377-024-01476-4
    pmid
    38802359
    pmcid
    PMC11130170
    patent Number
    Not recorded
    original Assignee
    Not recorded
    original Citation
    Meng H, Gao Y et al. (2024). "Colloidal quantum dot infrared hyperspectral imaging via single-pixel inference." Light: Science & Applications (Nature) 13:121 — CQD filters with 128×128 pixel HSI at 8.59 nm spectral resolution across 1050–1630 nm SWIR; miniaturisable architecture compatible with smartphone integration
    original Section
    Hyperspectral Imaging via Smartphone
    metadata Status
    metadata-reconciled
    claim Review
    Not independently appraised
    source URL
    https://www.notion.so/3807b9c99c5680599be7d8337c817b15
    publication URL
    https://pubmed.ncbi.nlm.nih.gov/38802359/
    metadata URL
    https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1038%2Fs41377-024-01476-4%22&format=json&resultType=core&pageSize=4
    corrections

    Canonical title, authors, year and identifiers follow the linked public metadata record. The original citation is retained for comparison. · Published title reconciled with the metadata record.

    topic Id
    imaging-evolution
    role
    Focused chapter source
source Type
Journal publication
source Verification
Bibliographic metadata matched; scientific claims await appraisal.
source Collection
Hyperspectral Imaging · patent section 2.4
title
Quantum dot-enabled infrared hyperspectral imaging with single-pixel detection.
journal
Light, science & applications
neurotransmitters
None recorded
year
2024
authors
Meng H, Gao Y, Wang X, Li X, Wang L, Zhao X, Sun B.
design
Journal publication
kind
Journal publication
identity Conflict
Not recorded
doi
10.1038/s41377-024-01476-4
pmid
38802359
urls

https://pubmed.ncbi.nlm.nih.gov/38802359/ · https://doi.org/10.1038/s41377-024-01476-4 · https://pmc.ncbi.nlm.nih.gov/articles/PMC11130170/

collections

general

categories

Hyperspectral Imaging

targets
None recorded
priority
1
quotes
None recorded
summary
The laboratory system combines quantum-dot filters, a digital micromirror device and a single-pixel detector to reconstruct near-infrared spectral images.
limitation
The demonstrated performance belongs to this optical hardware and reconstruction method; it is not an unmodified smartphone RGB camera.
citation Count
Not recorded
paper Trust Assessment
scope
Paper
status
unassessed
score
Not recorded
basis
Bibliographic identity checks do not establish study design, blinding or evidential strength.
citations By Collection
general
Not recorded
topics
  1. key
    general:imaging-evolution
    title
    Evolution of Hyperspectral, Smartphone and Infrared Technologies
    collection
    general
    trust Score
    Not recorded
journal Key
lightscienceandapplications
journal Label
Light, science & applications
chapter Entries
  1. id
    general-imaging-evolution-hsi-c2365ea769851d
    record Id
    hsi-c2365ea769851d
    title
    Quantum dot-enabled infrared hyperspectral imaging with single-pixel detection.
    journal
    Light, science & applications
    year
    2024
    authors
    Meng H, Gao Y, Wang X, Li X, Wang L, Zhao X, Sun B.
    design
    Journal publication
    urls

    https://pubmed.ncbi.nlm.nih.gov/38802359/ · https://doi.org/10.1038/s41377-024-01476-4 · https://pmc.ncbi.nlm.nih.gov/articles/PMC11130170/

    quotes
    None recorded
    summary
    The laboratory system combines quantum-dot filters, a digital micromirror device and a single-pixel detector to reconstruct near-infrared spectral images.
    related Versions
    None recorded
    limitation
    The demonstrated performance belongs to this optical hardware and reconstruction method; it is not an unmodified smartphone RGB camera.
    citation Count
    Not recorded
    source Pages
    None recorded
    doi
    10.1038/s41377-024-01476-4
    pmid
    38802359
    targets
    None recorded
    categories

    Hyperspectral Imaging

    source References
    1. ref
      NPL-152
      record Id
      hsi-c2365ea769851d
      source Type
      Journal publication
      title
      Quantum dot-enabled infrared hyperspectral imaging with single-pixel detection.
      authors
      Meng H, Gao Y, Wang X, Li X, Wang L, Zhao X, Sun B.
      year
      2024
      journal
      Light, science & applications
      doi
      10.1038/s41377-024-01476-4
      pmid
      38802359
      pmcid
      PMC11130170
      patent Number
      Not recorded
      original Assignee
      Not recorded
      original Citation
      Meng H, Gao Y et al. (2024). "Colloidal quantum dot infrared hyperspectral imaging via single-pixel inference." Light: Science & Applications (Nature) 13:121 — CQD filters with 128×128 pixel HSI at 8.59 nm spectral resolution across 1050–1630 nm SWIR; miniaturisable architecture compatible with smartphone integration
      original Section
      Hyperspectral Imaging via Smartphone
      metadata Status
      metadata-reconciled
      claim Review
      Not independently appraised
      source URL
      https://www.notion.so/3807b9c99c5680599be7d8337c817b15
      publication URL
      https://pubmed.ncbi.nlm.nih.gov/38802359/
      metadata URL
      https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1038%2Fs41377-024-01476-4%22&format=json&resultType=core&pageSize=4
      corrections

      Canonical title, authors, year and identifiers follow the linked public metadata record. The original citation is retained for comparison. · Published title reconciled with the metadata record.

      topic Id
      imaging-evolution
      role
      Focused chapter source
    source Type
    Journal publication
    source Verification
    Bibliographic metadata matched; scientific claims await appraisal.
    collection
    general
    chapter Number
    11
    topic Id
    imaging-evolution
    topic Title
    Evolution of Hyperspectral, Smartphone and Infrared Technologies
    trust Score
    Not recorded
    paper Trust Assessment
    scope
    Paper
    status
    unassessed
    score
    Not recorded
    basis
    Bibliographic identity checks do not establish study design, blinding or evidential strength.
jadad
status
unassessed
score
Not recorded
condition Evidence
None recorded
conditions
None recorded
topic Trust Scores
None recorded
full Text
status
not-indexed
retrieval Available
false

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