Embedded Defect Depth Estimation Using NIR Model-Less TSOM

Defect inspection in the packaging process requires high sensitivity and throughput. Through-focus Scanning Optical Microscopy (TSOM) can measure dimensions smaller than the resolution limit of optical microscopes, making it a subject of extensive research. Particularly, the model-less TSOM, which does not require separate modeling, is faster and computationally less intensive than model-based TSOM. This paper applies NIR model-less TSOM to measure the depth of embedded defects in OLED displays. As a result, we successfully estimated the depth of 43 embedded defects with an accuracy of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$0.36\ \mu \mathrm{m}$</tex> (DOF/17.8).

Authors

Institutions

Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/eptc62800.2024.10909945
Citations
1
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Embedded Defect Depth Estimation Using NIR Model-Less TSOM

Oh‐Seok Kwon, S. Kim, Ji Yong Joo, Jun Ho Lee et al.
1 citations
Industrial Vision Systems and Defect Detection
0.35
article

Embedded Defect Depth Estimation Using NIR Model-Less TSOM

Oh‐Seok Kwon, S. Kim, Ji Yong Joo, Jun Ho Lee, Jun Sung Lee
article en
1 citations

Abstract

Defect inspection in the packaging process requires high sensitivity and throughput. Through-focus Scanning Optical Microscopy (TSOM) can measure dimensions smaller than the resolution limit of optical microscopes, making it a subject of extensive research. Particularly, the model-less TSOM, which does not require separate modeling, is faster and computationally less intensive than model-based TSOM. This paper applies NIR model-less TSOM to measure the depth of embedded defects in OLED displays. As a result, we successfully estimated the depth of 43 embedded defects with an accuracy of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$0.36\ \mu \mathrm{m}$</tex> (DOF/17.8).

Kongju National University (KR)
Korea Evaluation Institute of Industrial Technology
Climate action
Openalex Percentile: Top 31%
Industrial Vision Systems and Defect Detection
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Embedded Defect Depth Estimation Using NIR Model-Less TSOM — Oh‐Seok Kwon, S. Kim, et al. · (2024) | TGRS Research Map | TGRS