scholarly journals Effects of Fluorescein Staining on Laser In Vivo Confocal Microscopy Images of the Cornea

2012 ◽  
Vol 2012 ◽  
pp. 1-4 ◽  
Author(s):  
Christine W. Sindt ◽  
D. Brice Critser ◽  
Trudy K. Grout ◽  
Jami R. Kern
Keyword(s):  
Confocal Microscopy ◽  
Contact Lens ◽  
Immune Cells ◽  
In Vivo Confocal Microscopy ◽  
Eye Care ◽  
Laser Confocal Microscopy ◽  
Fluorescein Staining ◽  
Microscopy Images ◽  
Subbasal Nerve Plexus

This study was designed to identify whether topical fluorescein, a common ophthalmic tool, affects laser in vivo confocal microscopy of the cornea, a tool with growing applications. Twenty-five eye care specialists were asked to identify presence or absence of fluorescein in 99 confocal micrographs of healthy corneas. Responses were statistically similar to guessing for the epithelium (48% ± 14% of respondents correct per image) and the subbasal nerve plexus (49% ± 11% correct), but results were less clear for the stroma. Dendritic immune cells were quantified in bilateral images from subjects who had been unilaterally stained with fluorescein. Density of dendritic immune cells was statistically similar between the unstained and contralateral stained eyes of 24 contact lens wearers (P=.72) and of 10 nonwearers (P=.53). Overall, the results indicated that fluorescein staining did not interfere with laser confocal microscopy of corneal epithelium, subbasal nerves, or dendritic immune cells.

scholarly journals In vivo confocal microscopy detects bilateral changes of corneal immune cells and nerves in unilateral herpes zoster ophthalmicus

2018 ◽  
Vol 16 (1) ◽  
pp. 101-111 ◽  
Author(s):  
Bernardo M. Cavalcanti ◽  
Andrea Cruzat ◽  
Afsun Sahin ◽  
Deborah Pavan-Langston ◽  
Eric Samayoa ◽  
...  
Keyword(s):  
Herpes Zoster ◽  
Confocal Microscopy ◽  
Immune Cells ◽  
In Vivo Confocal Microscopy ◽  
Herpes Zoster Ophthalmicus

Image Reconstruction of the Subbasal Nerve Plexus with In Vivo Confocal Microscopy

2011 ◽  
Vol 52 (9) ◽  
pp. 5022 ◽  
Author(s):  
Stephan Allgeier ◽  
Andrey Zhivov ◽  
Franz Eberle ◽  
Bernd Koehler ◽  
Susanne Maier ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Confocal Microscopy ◽  
Nerve Plexus ◽  
In Vivo Confocal Microscopy ◽  
Subbasal Nerve Plexus

The application of in vivo confocal microscopy and tear LDH measurement in assessing corneal response to contact lens and contact lens solutions

1999 ◽  
Vol 19 (2) ◽  
pp. 171-181 ◽  
Author(s):  
Jin Ho Chang ◽  
Hongwei Ren ◽  
W. Matthew Petroll ◽  
H. Dwight Cavanagh ◽  
James V. Jester
Keyword(s):  
Confocal Microscopy ◽  
Contact Lens ◽  
In Vivo Confocal Microscopy ◽  
Contact Lens Solutions

scholarly journals A deep transfer learning framework for the automated assessment of corneal inflammation on in vivo confocal microscopy images

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252653
Author(s):  
Fan Xu ◽  
Yikun Qin ◽  
Wenjing He ◽  
Guangyi Huang ◽  
Jian Lv ◽  
...  
Keyword(s):  
Dendritic Cells ◽  
Confocal Microscopy ◽  
Transfer Learning ◽  
Inflammatory Cells ◽  
Computer Assisted ◽  
In Vivo Confocal Microscopy ◽  
Learning Models ◽  
Corneal Inflammation ◽  
Microscopy Images

Purpose Infiltration of activated dendritic cells and inflammatory cells in cornea represents an important marker for defining corneal inflammation. Deep transfer learning has presented a promising potential and is gaining more importance in computer assisted diagnosis. This study aimed to develop deep transfer learning models for automatic detection of activated dendritic cells and inflammatory cells using in vivo confocal microscopy images. Methods A total of 3453 images was used to train the models. External validation was performed on an independent test set of 558 images. A ground-truth label was assigned to each image by a panel of cornea specialists. We constructed a deep transfer learning network that consisted of a pre-trained network and an adaptation layer. In this work, five pre-trained networks were considered, namely VGG-16, ResNet-101, Inception V3, Xception, and Inception-ResNet V2. The performance of each transfer network was evaluated by calculating the area under the curve (AUC) of receiver operating characteristic, accuracy, sensitivity, specificity, and G mean. Results The best performance was achieved by Inception-ResNet V2 transfer model. In the validation set, the best transfer system achieved an AUC of 0.9646 (P<0.001) in identifying activated dendritic cells (accuracy, 0.9319; sensitivity, 0.8171; specificity, 0.9517; and G mean, 0.8872), and 0.9901 (P<0.001) in identifying inflammatory cells (accuracy, 0.9767; sensitivity, 0.9174; specificity, 0.9931; and G mean, 0.9545). Conclusions The deep transfer learning models provide a completely automated analysis of corneal inflammatory cellular components with high accuracy. The implementation of such models would greatly benefit the management of corneal diseases and reduce workloads for ophthalmologists.

scholarly journals An in vivo confocal microscopy study of corneal changes in patients with systemic sclerosis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eszter Szalai ◽  
Gabriella Szucs ◽  
Szilvia Szamosi ◽  
Zsuzsa Aszalos ◽  
Ildiko Afra ◽  
...  
Keyword(s):  
Systemic Sclerosis ◽  
Confocal Microscopy ◽  
Ocular Surface ◽  
Healthy Subjects ◽  
Ocular Surface Disease ◽  
Nerve Plexus ◽  
In Vivo Confocal Microscopy ◽  
Software Analysis ◽  
Subbasal Nerve Plexus

AbstractTo investigate corneal microstructure of systemic sclerosis (SSc) patients using in vivo confocal microscopy (IVCM). 33 patients with SSc and 30 age-matched healthy subjects were recruited. All participants underwent comprehensive ophthalmic examination including IVCM (Heidelberg Retina Tomograph III, Heidelberg Engineering GmbH, Heidelberg, Germany) and ocular surface evaluation. Subbasal nerve plexus morphology was investigated using automated software analysis (ACCMetrics V3; University of Manchester, Manchester, UK). Keratocyte cell densities in the anterior stroma were significantly lower in patients with SSc compared to controls (P < 0.0001). In 7 SSc patients no keratocyte nuclei were identified in the anterior stroma and in most patients scattered hyperreflective punctate material were observed in the anterior stroma. Significantly lower subbasal nerve fiber parameters were found in patients with SSc compared to healthy subjects (P < 0.05). There were no significant correlations between the duration of SSc and any of the corneal cell density values. Tear break-up time values (4.82 ± 3.15 s) and Ocular Surface Disease Index scores (33.27 ± 30.11) were abnormal, Schirmer values (6.78 ± 5.82 mm) were borderline in SSc patients. In SSc, corneal morphological changes and accumulation of punctate material in the stroma was detected with confocal microscopy. Severe ocular surface disease was observed in SSc patients with significant impairment in subbasal nerve plexus morphology resembling peripheral neuropathy.

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