Oblique Light Sheet Fluorescence Microscopy With Surface Tracking for High-Speed Large-Area Imaging of Conjunctival Goblet Cells

Conjunctival goblet cells (CGCs) are specialized mucin-secreting epithelial cells, playing key roles for ocular surface homeostasis. Their examination is important for diagnosing various ocular surface disorders. However, existing imaging modalities have limitations in examining CGCs over large conjunctival regions. In this study, we present an oblique light sheet fluorescence microscopy (OLSFM) system integrated with real-time surface tracking for high-speed, large-area imaging of CGCs. The system incorporates an obliquely oriented imaging arm, providing high tolerance to variations in the sample surface. Continuous lateral scanning with pulsed light sheet illumination enables rapid large-area imaging. Additional real-time surface tracking maintains focus during the lateral scanning over the curved conjunctival surface. OLSFM successfully imaged an 8 mm<sup>2</sup> conjunctival area within 0.5 seconds in animal models, highlighting its potential for rapid CGC examination and the precise diagnosis of ocular surface diseases.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Medical Imaging
Published
2025-09-03
DOI
https://doi.org/10.1109/tmi.2025.3605718
Primary Topic
Ocular Surface and Contact Lens
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Oblique Light Sheet Fluorescence Microscopy With Surface Tracking for High-Speed Large-Area Imaging of Conjunctival Goblet Cells

Ki Hean Kim, Chulmin Joo, Wan Choi, Jungbin Lee et al.
IEEE Transactions on Medical Imaging
Ocular Surface and Contact Lens
article

Oblique Light Sheet Fluorescence Microscopy With Surface Tracking for High-Speed Large-Area Imaging of Conjunctival Goblet Cells

Ki Hean Kim, Chulmin Joo, Wan Choi, Jungbin Lee, Baekcheon Seong, Chang Ho Yoon, Seonghan Kim, Younghun Kim, J. C. Yun
article en

Abstract

Conjunctival goblet cells (CGCs) are specialized mucin-secreting epithelial cells, playing key roles for ocular surface homeostasis. Their examination is important for diagnosing various ocular surface disorders. However, existing imaging modalities have limitations in examining CGCs over large conjunctival regions. In this study, we present an oblique light sheet fluorescence microscopy (OLSFM) system integrated with real-time surface tracking for high-speed, large-area imaging of CGCs. The system incorporates an obliquely oriented imaging arm, providing high tolerance to variations in the sample surface. Continuous lateral scanning with pulsed light sheet illumination enables rapid large-area imaging. Additional real-time surface tracking maintains focus during the lateral scanning over the curved conjunctival surface. OLSFM successfully imaged an 8 mm<sup>2</sup> conjunctival area within 0.5 seconds in animal models, highlighting its potential for rapid CGC examination and the precise diagnosis of ocular surface diseases.

IEEE Transactions on Medical ImagingVol. 45(2)
Pohang University of Science and Technology (KR), Seoul National University (KR), Yonsei University (KR), Seoul National University Hospital (KR)
Korea Medical Device Development Fund, National Research Foundation of Korea
Openalex Percentile: Top 68%
Ocular Surface and Contact Lens
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.

Oblique Light Sheet Fluorescence Microscopy With Surface Tracking for High-Speed Large-Area Imaging of Conjunctival Goblet Cells — Ki Hean Kim, Chulmin Joo, et al. · IEEE Transactions on Medical Imaging (2025) | TGRS Research Map | TGRS