Evidence map›Paper›PMID 35921422›Full record

ArticleScience advances2022

A 619-pixel machine vision enhancement chip based on two-dimensional semiconductors.

Shunli Ma, Tianxiang Wu, Xinyu Chen, Yin Wang, Jingyi Ma, Honglei Chen, Antoine Riaud, Jing Wan, Zihan Xu, Lin Chen and 5 more

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
6.4field-weighted citation impact, top 3% of its field
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

15 citing papers in PubMed, 71 citations in OpenAlex.

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  9. Efficient Photothermoelectric Conversion of CSS@BP/BiAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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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

15 authors at 2 institutions in 2 countries.

Shunli MaState Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China.ORCID 0000-0002-9144-9078
Tianxiang WuState Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China.ORCID 0000-0003-4920-9932
Xinyu ChenState Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China.ORCID 0000-0002-0350-4840
Yin WangState Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China.
Jingyi MaState Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China.
Honglei ChenState Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China.
Antoine RiaudState Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China.ORCID 0000-0001-8323-706X
Jing WanState Key Laboratory of ASIC and System, School of Information Science and Technology, Fudan University, Shanghai 200433, China.
Zihan XuShenzhen Sixcarbon Technology, 188 Jiangshi Road, Shenzhen 518106, China.
Lin ChenState Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China.
Junyan RenState Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China.
David Wei ZhangState Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China.
Peng ZhouState Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China.ORCID 0000-0002-7301-1013
Yang ChaiDepartment of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China.ORCID 0000-0002-8943-0861
Wenzhong BaoState Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China.ORCID 0000-0002-3871-467X
Fudan University · CNHong Kong Polytechnic University · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid development of machine vision applications demands hardware that can sense and process visual information in a single monolithic unit to avoid redundant data transfer. Here, we design and demonstrate a monolithic vision enhancement chip with light-sensing, memory, digital-to-analog conversion, and processing functions by implementing a 619-pixel with 8582 transistors and physical dimensions of 10 mm by 10 mm based on a wafer-scale two-dimensional (2D) monolayer molybdenum disulfide (MoS

Identifiers

PMID35921422
PMCPMC9348785
OpenAlexW4289653542

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.