AIMC Topic: Microscopy, Confocal
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Automated identification and quantification of activated dendritic cells in central cornea using artificial intelligence.
The ocular surface
Jun 27, 2023
PURPOSE: To validate an algorithm quantifying activated dendritic cells (aDCs) using in-vivo confocal microscopy (IVCM) images.
Interpretable deep learning for diagnosis of fungal and acanthamoeba keratitis using in vivo confocal microscopy images.
Scientific reports
Jun 2, 2023
Infectious keratitis refers to a group of corneal disorders in which corneal tissues suffer inflammation and damage caused by pathogenic infections. Among these disorders, fungal keratitis (FK) and acanthamoeba keratitis (AK) are particularly severe ...
NerveStitcher: Corneal confocal microscope images stitching with neural networks.
Computers in biology and medicine
Nov 9, 2022
Corneal nerves are of great interest to clinicians and scientists due to their potential for the diagnosis of early neurological disorders. In vivo confocal microscopy (IVCM) has been used as a novel and reliable tool for observing and quantifying co...
A novel combination of corneal confocal microscopy, clinical features and artificial intelligence for evaluation of ocular surface pain.
PloS one
Nov 1, 2022
OBJECTIVES: To analyse various corneal nerve parameters using confocal microscopy along with systemic and orthoptic parameters in patients presenting with ocular surface pain using a random forest artificial intelligence (AI) model.
Deep learning for inflammatory diseases classification based on reflectance confocal microscopy.
Journal of the American Academy of Dermatology
Oct 4, 2022
Deep learning alignment of bidirectional raster scanning in high speed photoacoustic microscopy.
Scientific reports
Sep 28, 2022
Simultaneous point-by-point raster scanning of optical and acoustic beams has been widely adapted to high-speed photoacoustic microscopy (PAM) using a water-immersible microelectromechanical system or galvanometer scanner. However, when using high-sp...
DeepGrading: Deep Learning Grading of Corneal Nerve Tortuosity.
IEEE transactions on medical imaging
Aug 1, 2022
Accurate estimation and quantification of the corneal nerve fiber tortuosity in corneal confocal microscopy (CCM) is of great importance for disease understanding and clinical decision-making. However, the grading of corneal nerve tortuosity remains ...
Novel aspects of Raman spectroscopy in skin research.
Experimental dermatology
Jul 25, 2022
The analytical technology of Raman spectroscopy has an almost 100-year history. During this period, many modifications and developments happened in the method like discovery of laser, improvements in optical elements and sensitivity of spectrometer a...
A deep learning model (FociRad) for automated detection of γ-H2AX foci and radiation dose estimation.
Scientific reports
Apr 1, 2022
DNA double-strand breaks (DSBs) are the most lethal form of damage to cells from irradiation. γ-H2AX (phosphorylated form of H2AX histone variant) has become one of the most reliable and sensitive biomarkers of DNA DSBs. However, the γ-H2AX foci assa...
Change patterns in the corneal sub-basal nerve and corneal aberrations in patients with dry eye disease: An artificial intelligence analysis.
Experimental eye research
Dec 10, 2021
We aimed to investigate the change patterns in corneal sub-basal nerve morphology and corneal intrinsic aberrations in dry eye disease (DED). Our study included 229 eyes of 155 patients with DED and 40 eyes of 20 healthy control. We used the Oculus k...
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