Jieun Yun,Jungbin Lee,Seonghan Kim,Baekcheon Seong,Younghun Kim,Wan Jae Choi,Chang Ho Yoon,Chulmin Joo,Ki Hean Kim
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引用次数: 0
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 mm² conjunctival area within 0.5 seconds in animal models, highlighting its potential for rapid CGC examination and the precise diagnosis of ocular surface diseases.
期刊介绍:
The IEEE Transactions on Medical Imaging (T-MI) is a journal that welcomes the submission of manuscripts focusing on various aspects of medical imaging. The journal encourages the exploration of body structure, morphology, and function through different imaging techniques, including ultrasound, X-rays, magnetic resonance, radionuclides, microwaves, and optical methods. It also promotes contributions related to cell and molecular imaging, as well as all forms of microscopy.
T-MI publishes original research papers that cover a wide range of topics, including but not limited to novel acquisition techniques, medical image processing and analysis, visualization and performance, pattern recognition, machine learning, and other related methods. The journal particularly encourages highly technical studies that offer new perspectives. By emphasizing the unification of medicine, biology, and imaging, T-MI seeks to bridge the gap between instrumentation, hardware, software, mathematics, physics, biology, and medicine by introducing new analysis methods.
While the journal welcomes strong application papers that describe novel methods, it directs papers that focus solely on important applications using medically adopted or well-established methods without significant innovation in methodology to other journals. T-MI is indexed in Pubmed® and Medline®, which are products of the United States National Library of Medicine.