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High-performance microscopy for non-invasive conjunctival goblet cell examination

Credit: Pohang University of Science and Technology

Conjunctival goblet cells (CGCs) are specialized epithelial cells that secrete mucins to form the lining of the film membrane. The virus spreads the film of tears over the face for protection. Inactivity and death of CGCs leads to film instability and is associated with various eye diseases including dry eye (DED). Because DED is a multifaceted disease with many causes, it is important to identify the causes and status of the disease. Therefore, CGC testing is essential for accurate diagnosis and effective treatment of ocular diseases; however, the CGC test was not available until now due to the lack of airborne devices.

A POSTECH research team led by Professor Ki Hean Kim and Ph.D. Candidates Jungbin Lee and Seonghan Kim (Department of Engineering), in collaboration with Professor Hong Kyun Kim and Byeong Jae Son (Department of Ophthalmology) of Kyungpook National University and Professor Chang Ho Yoon (Department of Ophthalmology) of Jami Seoul National Park, developed. a large-scale microscopy system for the diagnosis of benign CGC in patients. Known for its technological advancement and potential, this study was recently published in it IEEE Transactions on Medical Imaging.

Earlier in 2019, the research team found for the first time that moxifloxacin, an FDA-approved ophthalmic vaccine, destroys CGCs, and showed a high profile of CGC using moxifloxacin as a cell marker agent. However, CGC imaging in humans is not possible due to the different limits of conventional microscope techniques such as m depth-of-fields (DOFs) and slow image speed.

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Credit: Pohang University of Science and Technology

To overcome these limitations, the research team developed a powerful high-speed DOF microscopy with a DOF 1 mm (DOF length 25x) and 10 frames per second image speed. A perforated mirror was used in the system to quickly clear the plane and carry the CGCs on a straight line of flaws in a single frame. The resulting images contain both focal and external data, and a revolution is used to filter only the focused data. System diagrams and sample images are shown in Figure 1. Using the new system, the researchers were able to display. real-timelarge area CGC Picture in live mouse and rabbit model as shown in Fig. 2.

Professor Ki Hean Kim of POSTECH explained, “The new imaging system can obtain high-resolution images of CGCs in living animal species and is beneficial to humans.” He added, “Going forward, we will provide a camera to take patients and then run clinical trials to test the potential for safe CGC testing in the diagnosis and management of cataracts. ”


Image of goblet conjunctival cells helps detect dry eye


Learn more:
Jungbin Lee et al, Moxifloxacin-Based Extended Depth-of-Field Fluorescence Microoscopy for Real-Time Conjunctival Goblet Cell exam, IEEE Transactions on Medical Imaging (2022). DOI: 10.1109 / TMI.2022.3151944

Contributed by Pohang University of Science and Technology

hint: Large-scale microscopy project for the study of Conjolin Conjunival non-condensed cell (2022, 1322) / 2012-04-NaFalivacy-n_incape- cup.html

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