Evidence map›Paper›PMID 38310087›Full record

ArticleNature communications2024

Geometric transformation adaptive optics (GTAO) for volumetric deep brain imaging through gradient-index lenses.

Yuting Li, Zongyue Cheng, Chenmao Wang, Jianian Lin, Hehai Jiang, Meng Cui

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Imaging Single-Cell CaBio-protocol · 2024
    Article
  9. 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.

Yuting Li *School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Zongyue Cheng *School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA.ORCID 0000-0003-3655-776X
Chenmao WangSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA.ORCID 0000-0002-5667-4341
Jianian LinSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA.ORCID 0000-0003-1386-4572
Hehai JiangSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Meng CuiSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA. mengcui@purdue.edu.ORCID 0000-0002-8719-0171

Funding

Optimization of Calcium and RNA multiplexed activity imaging for highly parallelized evaluation of cell type functions in deep-brain structuresU01NS126054 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CUI, MENG, STERNSON, SCOTT M · 2022 to 2025
$3.0M
Optimization of Clear Optically Matched Panoramic Access Channel Technique (COMPACT) for large-scale deep-brain neurophotonic interfaceU01NS118302 · NINDS · PURDUE UNIVERSITY · PI CUI, MENG, YANG, GUANG · 2020 to 2025
$1.6M
Optical gearbox for high speed neural recordingR21EY032382 · NEI · PURDUE UNIVERSITY · PI CUI, MENG, YANG, GUANG · 2021 to 2022
$493k
NEI NIH HHS R21 EY032382NINDS NIH HHS U01 NS118302NINDS NIH HHS U01 NS126054
6 · The paper itself

Abstract

The advance of genetic function indicators has enabled the observation of neuronal activities at single-cell resolutions. A major challenge for the applications on mammalian brains is the limited optical access depth. Currently, the method of choice to access deep brain structures is to insert miniature optical components. Among these validated miniature optics, the gradient-index (GRIN) lens has been widely employed for its compactness and simplicity. However, due to strong fourth-order astigmatism, GRIN lenses suffer from a small imaging field of view, which severely limits the measurement throughput and success rate. To overcome these challenges, we developed geometric transformation adaptive optics (GTAO), which enables adaptable achromatic large-volume correction through GRIN lenses. We demonstrate its major advances through in vivo structural and functional imaging of mouse brains. The results suggest that GTAO can serve as a versatile solution to enable large-volume recording of deep brain structures and activities through GRIN lenses.

Indexed as

Lens, CrystallineLensesAnimalsBrainMammalsMiceNeuroimagingOptics and Photonics

Identifiers

PMID38310087
PMCPMC10838304

What OpenQuestion holds

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LicenceCC BY
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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.