Deep learning-based denoising in spectrally-encoded confocal microscopy

2021 ◽  
Author(s):  
Jingwei Zhao ◽  
Manu Jain ◽  
Ucalene Harris ◽  
Kivanc Kose ◽  
Clara Curiel-Lewandrowski ◽  
...  
Keyword(s):  
Deep Learning ◽  
Confocal Microscopy ◽  
Spectrally Encoded

Flow cytometry using spectrally encoded confocal microscopy

2010 ◽  
Vol 35 (13) ◽  
pp. 2218 ◽  
Author(s):  
Lior Golan ◽  
Dvir Yelin
Keyword(s):  
Flow Cytometry ◽  
Confocal Microscopy ◽  
Spectrally Encoded

scholarly journals Spectrally encoded confocal microscopy for diagnosing breast cancer in excision and margin specimens

2016 ◽  
Vol 96 (4) ◽  
pp. 459-467 ◽  
Author(s):  
Elena F Brachtel ◽  
Nicole B Johnson ◽  
Amelia E Huck ◽  
Travis L Rice-Stitt ◽  
Mark G Vangel ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Confocal Microscopy ◽  
Spectrally Encoded

scholarly journals Combining In Vivo Corneal Confocal Microscopy with Deep Learning-based Analysis Reveals Sensory Nerve Fiber Loss in Acute SIV Infection

2020 ◽  
Author(s):  
Megan E. McCarron ◽  
Rachel L. Weinberg ◽  
Jessica M. Izzi ◽  
Suzanne E. Queen ◽  
Stuti L. Misra ◽  
...  
Keyword(s):  
Fractal Dimension ◽  
Deep Learning ◽  
Confocal Microscopy ◽  
Nerve Fiber ◽  
Fiber Length ◽  
Sensory Nerve ◽  
Corneal Confocal Microscopy ◽  
Siv Infection ◽  
Corneal Nerve

AbstractPurposeTo characterize corneal subbasal nerve plexus morphologic features using in vivo corneal confocal microscopy (IVCM) in normal and SIV-infected macaques and to implement automated assessments using novel deep learning-based methods customized for macaque studies.MethodsIn vivo corneal confocal microscopy images were collected from both male and female age-matched specific-pathogen free rhesus and pigtailed macaques housed at the Johns Hopkins University breeding colony using the Heidelberg HRTIII with Rostock Corneal Module. We also obtained repeat IVCM images of 12 SIV-infected animals including pre-infection and 10 day post-SIV infection time-points. All IVCM images were analyzed using a novel deep convolutional neural network architecture developed specifically for macaque studies.ResultsDeep learning-based segmentation of subbasal nerves in IVCM images from macaques demonstrated that corneal nerve fiber length (CNFL) and fractal dimension measurements did not differ between species, but pigtailed macaques had significantly higher baseline corneal nerve fiber tortuosity than rhesus macaques (P = 0.005). Neither sex nor age of macaques was associated with differences in any of the assessed corneal subbasal nerve parameters. In the SIV/macaque model of HIV, acute SIV infection induced significant decreases in both corneal nerve fiber length and fractal dimension (P= 0.01 and P= 0.008 respectively).ConclusionsThe combination of IVCM and objective, robust, and rapid deep-learning analysis serves as a powerful noninvasive research and clinical tool to track sensory nerve damage, enabling early detection of neuropathy. Adapting the deep-learning analyses to human corneal nerve assessments will refine our ability to predict and monitor damage to small sensory nerve fibers in a number of clinical settings including HIV, multiple sclerosis, Parkinson’s disease, diabetes, and chemotherapeutic neurotoxicity.

A Novel GRISM-Based Probe for Spectrally Encoded Confocal Microscopy

2002 ◽  
Author(s):  
Costas Pitris ◽  
Brett Bouma ◽  
Milen Shiskov ◽  
Gary Tearney
Keyword(s):  
Confocal Microscopy ◽  
Spectrally Encoded

Spectrally encoded confocal microscopy at the 1.9-μm wavelength window

2015 ◽  
Author(s):  
Sisi Tan ◽  
Xiaoming Wei ◽  
Shanhui Xu ◽  
Zhongmin Yang ◽  
Bowen Li ◽  
...  
Keyword(s):  
Confocal Microscopy ◽  
Spectrally Encoded

Dual-comb spectrally encoded confocal microscopy by electro-optic modulators

2019 ◽  
Vol 44 (11) ◽  
pp. 2919 ◽  
Author(s):  
Pingping Feng ◽  
Jiqiang Kang ◽  
Sisi Tan ◽  
Yu-Xuan Ren ◽  
Chi Zhang ◽  
...  
Keyword(s):  
Confocal Microscopy ◽  
Electro Optic ◽  
Spectrally Encoded
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