Publications by authors named "Shao-feng Gu"

Background: The structural features have an impact on the surgical prognosis for congenital corneal opacity (CCO). The structural classification system of CCO, however, is lacking. Based on data from ultrasound biomicroscopy (UBM) findings in infants and toddlers with CCO, this research proposed a classification system for the anterior segment structure severity.

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Purpose: The purpose of this study was to investigate the morphologic features of the cornea in patients with unilateral posterior interstitial keratitis.

Methods: Seven eyes of 7 patients with unilateral posterior interstitial keratitis were examined by slit-lamp biomicroscopy, anterior segment optical coherence tomography (AS-OCT), and confocal microscopy (IVCM). The imaging features of the cornea were evaluated and analyzed.

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Purpose: To develop a fully automated segmentation and morphometric parameter estimation system for assessing corneal endothelial cells from in vivo confocal microscopy images.

Design: Artificial intelligence (neural network) study.

Methods: First, a fully automated deep learning system for assessing corneal endothelial cells was developed using the development set (from 99 subjects).

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Purpose: The goal was to develop a fully automated grading system for the evaluation of punctate epithelial erosions (PEEs) using deep neural networks.

Methods: A fully automated system was developed to detect corneal position and grade staining severity given a corneal fluorescein staining image. The fully automated pipeline consists of the following three steps: a corneal segmentation model extracts corneal area; five image patches are cropped from the staining image based on the five subregions of extracted cornea; a staining grading model predicts a score for each image patch from 0 to 3, and automated grading score for the whole cornea is obtained from 0 to 15.

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Aim: To report the 3mo outcomes of collagen cross-linking (CXL) with a hypo-osmolar riboflavin in thin corneas with the thinnest thickness less than 400 µm without epithelium.

Methods: Eight eyes in 6 patients with age 26.2±4.

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Objective: To investigate the surgical procedure, clinical efficacy, complications, density of endothelial cells and histological changes after Descemet's stripping endothelial keratoplasty (DSEK) surgery.

Methods: It was a experimental study. Twenty four New Zealand rabbits were divided into 3 groups, 8 rabbits per group.

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Objective: To explore the method of isolation, cultivation, and identification of human skin fibroblasts in vitro.

Methods: By digesting human skin with collagenase type II to isolate human eccrine sweat glands. The fibroblasts grew along with the growth of eccrine sweat gland cells,and they were separated by digesting with 0.

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Article Synopsis
  • This study aimed to isolate and purify epithelial cells from human eccrine sweat glands in a lab setting.
  • Using collagenase type II, researchers successfully digested human skin to extract gland cells, with further purification achieved through multiple transfers under an inverted microscope.
  • The results showed that collagenase type II effectively preserved the integrity of the cells while allowing them to grow in culture, overcoming challenges related to contamination from other cell types and tissue debris.
  • Despite successful isolation and cultivation of sweat gland cells, the researchers acknowledged that there are still significant challenges in the process.
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