Evidence map›Paper›PMID 41682445›Full record

ArticleSensors (Basel, Switzerland)2026

Enhancing Discharge Performance and Image Lag Characteristics in PIN Diode X-Ray Sensors with a Reset Transistor.

Hanbin Jang, Jinwook Heo, Moonjeong Bok, Eunju Lim

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. 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

4 authors.

Hanbin JangDepartment of Convergent System Engineering, Dankook University, Yongin 16890, Republic of Korea.ORCID 0009-0000-5355-5585
Jinwook HeoduoPIX-ray Inc., Yongin 16914, Republic of Korea.ORCID 0009-0003-9968-873X
Moonjeong BokDepartment of Convergent System Engineering, Dankook University, Yongin 16890, Republic of Korea.ORCID 0009-0003-9087-0455
Eunju LimDepartment of Convergent System Engineering, Dankook University, Yongin 16890, Republic of Korea.ORCID 0000-0003-2871-7831

Funding

National Research Foundation of Korea RS-2024-00351723
6 · The paper itself

Abstract

With the advent of electric vehicles, the demand for non-destructive inspection methods for battery evaluation has increased. Among various requirements, achieving high-frame-rate performance is particularly critical for rapid inspection in end-user systems. However, image delay, which increases with frame rate, has emerged as a significant challenge due to inherent limitations in sensor design. As a result, extensive research has been conducted to improve image lag performance. In this study, we conducted an in-depth analysis of the fundamental causes of image lag in image sensors. Based on these findings, we fabricated a novel sensor with a reset transistor separate from the readout transistor used for data transfer. This approach effectively increased the reset current of the photodiode, significantly reducing image lag. The transistor material used in this study was InGaZnO, which showed a significant improvement in image lag compared to conventional methods. By introducing a dedicated reset transistor, the allowable reset current of the PIN diode was increased by a factor of 100 compared to the ROIC-limited condition, resulting in a significant reduction in image lag from 3.8% (STS) to 0.9% (DTS) under high-frame-rate operation. This research provides a theoretical basis for proposing various new X-ray digital image sensor structures.

Indexed as

image lagInGaZnOPIN diodethin film transistorX-ray image sensor

Identifiers

PMID41682445
PMCPMC12899452

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.