scholarly journals In vivo reflectance confocal microscopy in a typical case of melasma

2012 ◽  
Vol 87 (5) ◽  
pp. 782-784 ◽  
Author(s):  
Mariana Carvalho Costa ◽  
Hernando Vega Eljaiek ◽  
Leonardo Spagnol Abraham ◽  
Luna Azulay-Abulafia ◽  
Marco Ardigo
Keyword(s):  
Confocal Microscopy ◽  
Real Time ◽  
Typical Case ◽  
Reflectance Confocal Microscopy ◽  
Noninvasive Evaluation ◽  
Common Disorder ◽  
Face Images ◽  
Cellular Resolution ◽  
En Face

Melasma is a common disorder of hypermelanosis that affects mainly young and middle-aged women of Fitzpatrick's phototypes III-V. The disease significantly impacts their lives. In vivo reflectance confocal microscopy, a spreading technology for the noninvasive evaluation of the skin up to the papillary dermis, provides real-time en face images with cellular resolution. We present a case of melasma with in vivo reflectance confocal microscopy findings closely correlated to the histopathological features described in the literature.

scholarly journals Real-Time Evidence of In Vivo Leukocyte Trafficking in Human Skin by Reflectance Confocal Microscopy

2001 ◽  
Vol 117 (2) ◽  
pp. 384-386 ◽  
Author(s):  
Salvador González ◽  
Robert Sackstein ◽  
R. Rox Anderson ◽  
Milind Rajadhyaksha
Keyword(s):  
Confocal Microscopy ◽  
Real Time ◽  
Human Skin ◽  
Reflectance Confocal Microscopy ◽  
Leukocyte Trafficking

scholarly journals Automated segmentation of skin strata in reflectance confocal microscopy depth stacks

2015 ◽  
Author(s):  
Samuel Hames ◽  
Marco Ardigò ◽  
H. Peter Soyer ◽  
Andrew P. Bradley ◽  
Tarl W. Prow
Keyword(s):  
Confocal Microscopy ◽  
Stratum Corneum ◽  
Skin Diseases ◽  
Age Groups ◽  
Reflectance Confocal Microscopy ◽  
Papillary Dermis ◽  
Test Set ◽  
Viable Epidermis ◽  
En Face

Reflectance confocal microscopy (RCM) is a powerful tool for in-vivo examination of a variety of skin diseases. However, current use of RCM depends on qualitative examination by a human expert to look for specific features in the different strata of the skin. Developing approaches to quantify features in RCM imagery requires an automated understanding of what anatomical strata is present in a given en-face section. This work presents an automated approach using a bag of features approach to represent en-face sections and a logistic regression classifier to classify sections into one of four classes (stratum corneum, viable epidermis, dermal-epidermal junction and papillary dermis). This approach was developed and tested using a dataset of 308 depth stacks from 54 volunteers in two age groups (20-30 and 50-70 years of age). The classification accuracy on the test set was 85.6%. The mean absolute error in determining the interface depth for each of the stratum corneum/viable epidermis, viable epidermis/dermal-epidermal junction and dermal-epidermal junction/papillary dermis interfaces were 3.1 μm, 6.0 μm and 5.5 μm respectively. The probabilities predicted by the classifier in the test set showed that the classifier learned an effective model of the anatomy of human skin.

Usefulness of in vivo reflectance confocal microscopy in Morbihan syndrome

2021 ◽  
Author(s):  
Arianna Rizzo ◽  
Diletta Fiorani ◽  
Laura Lazzeri ◽  
Paolo Taddeucci ◽  
Pietro Rubegni ◽  
...  
Keyword(s):  
Confocal Microscopy ◽  
Reflectance Confocal Microscopy

scholarly journals In vivo reflectance confocal microscopy for the diagnosis of scabies

2021 ◽  
Vol 14 (1) ◽  
pp. e240507
Author(s):  
Mihai Lupu ◽  
Vlad Mihai Voiculescu ◽  
Cristina Vajaitu ◽  
Olguta Anca Orzan
Keyword(s):  
Confocal Microscopy ◽  
Reflectance Confocal Microscopy
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