Evidence map›Paper›PMID 42653590›Full record

ArticleMicromachines2026

Development of a Scalable High-Power LED-Based Inspection Platform for Correlative Photoluminescence and Electroluminescence Mapping of LED Chips.

Shang-Ping Ying, Bing-Mau Chen, Phan Van Kiet, Chen-Feng Lin

Abstract read
In one paragraph

Article in Micromachines, 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.

Shang-Ping YingDepartment of Semiconductor and Electro-Optical Technology, Minghsin University of Science & Technology, 1, Xinxing Road, Xinfeng, Hsin-Chu 30401, Taiwan.ORCID 0000-0002-5572-8651
Bing-Mau ChenDepartment of Semiconductor and Electro-Optical Technology, Minghsin University of Science & Technology, 1, Xinxing Road, Xinfeng, Hsin-Chu 30401, Taiwan.
Phan Van KietDepartment of Semiconductor and Electro-Optical Technology, Minghsin University of Science & Technology, 1, Xinxing Road, Xinfeng, Hsin-Chu 30401, Taiwan.
Chen-Feng LinDepartment of Semiconductor and Electro-Optical Technology, Minghsin University of Science & Technology, 1, Xinxing Road, Xinfeng, Hsin-Chu 30401, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we developed a measurement platform that employs high-power LEDs as excitation sources in conjunction with a charge-coupled device to perform spatially resolved photoluminescence (PL) and electroluminescence (EL) mapping of commercial LED chips. Two optical configurations (i.e., normal and oblique incidence) were designed to directly compare PL and EL distributions. Unlike conventional laser-based systems, high-power LEDs provide a cost-effective, compact, and scalable solution for PL mapping and provide a broad area of illumination, making them highly suitable for rapid chip-level inspection with strong potential for future wafer-scale scaling. The PL spectra obtained under high-power LED excitation exhibited strong correspondence with the EL spectra. Spatial mappings revealed key emission features, such as metallic contacts, defect-related spots, and surface contamination. The oblique-collection geometry yielded a more intense PL signal and clearer localized emission variations relative to the normal-collection geometry. These findings demonstrate that high-power LED-based PL mapping represents a practical and noninvasive alternative to EL, providing a reliable and scalable pathway for optical inspection of LED chips in both research and industrial applications.

Indexed as

electroluminescence (EL) mappingLED chip inspectionnormal-collection geometryoblique-collection geometryphotoluminescence (PL) mapping

Identifiers

PMID42653590
PMCPMC13515624

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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.