Publications by authors named "I K Lin"
Background: To evaluate the biosafety, reduction in anterior capsule opacification, and fluctuation in intraocular pressure (IOP) of a new phakic refractive lens (PRL) with a sinusoidal drainage groove design.
Methods: This self-controlled experiment was performed on eight eyes of four rabbits. Each rabbit was implanted with a sinusoidal PRL (PRL-S5) in the right eye and a conventional posterior chamber PRL (PC-PRL) in the left eye.
Changes in relative peripheral refraction after implantable collamer lenses implantation.
Graefes Arch Clin Exp Ophthalmol
December 2024
Purpose: This study aimed to measure the changes in refraction difference value (RDV) in different parts of the retina before and after implantable collamer lenses (ICL) surgery.
Design: Prospective study.
Methods: This study included 40 eyes of 40 patients who underwent ICL implantation for myopia.
The EZ DEVICE is an integrated fluorescence microflow cytometer designed for automated cell phenotyping and enumeration using artificial intelligence (AI). The platform consists of a laser diode, optical filter, objective lens, CMOS image sensor, and microfluidic chip, enabling automated sample pretreatment, labeling, and detection within a single compact unit. AI algorithms segment and identify objects in images captured by the CMOS sensor at 532 and 586 nm emission wavelengths.
View Article and Find Full Text PDFArticle Synopsis
- Esophageal achalasia is a condition that affects the lower esophageal sphincter (LES), leading to symptoms like difficulty swallowing, chest pain, and weight loss, with traditional treatments providing limited relief.
- This study investigates the effectiveness of Traditional Chinese Medicine, specifically Coptis chinensis and its active component berberine, in promoting LES relaxation as a potential alternative treatment.
- Results indicate that both C. chinensis extract and berberine significantly relax the LES by activating potassium channels, suggesting further research is warranted for their therapeutic use in esophageal disorders like achalasia.
Purpose: To develop a deep learning image assessment software, VeriSee™ AMD, and to validate its accuracy in diagnosing referable age-related macular degeneration (AMD).
Methods: For model development, a total of 6801 judgable 45-degree color fundus images from patients, aged 50 years and over, were collected. These images were assessed for AMD severity by ophthalmologists, according to the Age-Related Eye Disease Studies (AREDS) AMD category.