Evidence map›Paper›PMID 34154145›Full record

ArticleOptics express2021

Avalanche photodetectors with photon trapping structures for biomedical imaging applications.

Cesar Bartolo-Perez, Soroush Chandiparsi, Ahmed S Mayet, Hilal Cansizoglu, Yang Gao, Wayesh Qarony, Ahasan AhAmed, Shih-Yuan Wang, Simon R Cherry, M Saif Islam and 1 more

Abstract read
In one paragraph

Article in Optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. High Performance 0D ZnO Quantum Dot/2D (PEA)Nanomaterials (Basel, Switzerland) · 2022
    Article
  12. Article
  13. Article
  14. 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

11 authors.

Cesar Bartolo-Perez
Soroush Chandiparsi
Ahmed S Mayet
Hilal Cansizoglu
Yang Gao
Wayesh Qarony
Ahasan AhAmed
Shih-Yuan Wang
Simon R Cherry
M Saif Islam
Gerard Ariño-Estrada

Funding

Novel ultra-fast photodetectors for near reconstruction-less time-of-flight positron emission tomographyR21EB028398 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI ARIÑO ESTRADA, GERARD · 2019 to 2021
$610k
NIBIB NIH HHS R21 EB028398
6 · The paper itself

Abstract

Enhancing photon detection efficiency and time resolution in photodetectors in the entire visible range is critical to improve the image quality of time-of-flight (TOF)-based imaging systems and fluorescence lifetime imaging (FLIM). In this work, we evaluate the gain, detection efficiency, and timing performance of avalanche photodiodes (APD) with photon trapping nanostructures for photons with 450 nm and 850 nm wavelengths. At 850 nm wavelength, our photon trapping avalanche photodiodes showed 30 times higher gain, an increase from 16% to >60% enhanced absorption efficiency, and a 50% reduction in the full width at half maximum (FWHM) pulse response time close to the breakdown voltage. At 450 nm wavelength, the external quantum efficiency increased from 54% to 82%, while the gain was enhanced more than 20-fold. Therefore, silicon APDs with photon trapping structures exhibited a dramatic increase in absorption compared to control devices. Results suggest very thin devices with fast timing properties and high absorption between the near-ultraviolet and the near infrared region can be manufactured for high-speed applications in biomedical imaging. This study paves the way towards obtaining single photon detectors with photon trapping structures with gains above 10

Indexed as

PhotonsDiagnostic ImagingEquipment DesignHumansSiliconSilicon

Identifiers

PMID34154145
PMCPMC8237935

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.