Evidence map›Paper›PMID 41769386›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2023

Advancing Multi-Dimensional Vision: AI-Driven Imaging Using Unique Photodetectors with Integrated Surface Nanostructures.

Ahasan Ahamed, Weiwei Wang, Amita Rawat, Lisa N McPhillips, Ekaterina Ponizovskaya Devine, Shih-Yuan Wang, Zhi Ding, M Saif Islam

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2023. 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

8 authors.

Ahasan AhamedElectrical and Computer Engineering Department, University of California-Davis, California, 95616, USA.
Weiwei WangElectrical and Computer Engineering Department, University of California-Davis, California, 95616, USA.
Amita RawatElectrical and Computer Engineering Department, University of California-Davis, California, 95616, USA.
Lisa N McPhillipsElectrical and Computer Engineering Department, University of California-Davis, California, 95616, USA.
Ekaterina Ponizovskaya DevineW&WSens Devices Inc., 4546 El Camino, Suite 215, Los Altos, CA 94022, USA.
Shih-Yuan WangW&WSens Devices Inc., 4546 El Camino, Suite 215, Los Altos, CA 94022, USA.
Zhi DingElectrical and Computer Engineering Department, University of California-Davis, California, 95616, USA.
M Saif IslamElectrical and Computer Engineering Department, University of California-Davis, California, 95616, USA.

Funding

TRD3: Data Analytics and Intelligent Systems (AI-ML-DL-Visualization)P41EB032840 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Griffith R. Harsh · 2022 to 2026
$6.7M
NIBIB NIH HHS P41 EB032840
6 · The paper itself

Abstract

A compact assembly of photodetectors, enhanced with innovative surface nanostructures, can significantly enhance imaging modalities. This advancement captures multi-dimensional data, including spectral profiles, temporal responses, and spatial resolution. Achieving this breakthrough centers on the meticulous engineering of individual ultrafast detectors, which exhibit diverse responses to identical illumination conditions. A pivotal role is played by the integration of artificial intelligence (AI)-driven computational imaging, which optimizes the obtained multi-dimensional data. This paper demonstrates the benefits of such an imaging method. Specifically, we highlight the potential reductions in the physical scale of current systems, significant enhancements in system sensitivity, and substantial cost reduction. The potential applications include molecular fluorescence signal detection, chem-biological imaging, advanced LiDAR systems, and state-of-the-art focal plane arrays.

Indexed as

Computational ImagingNanostructuresPhotodetectorSpectroscopy

Identifiers

PMID41769386
PMCPMC12949674

What OpenQuestion holds

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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.