AIMC Topic: Microscopy, Confocal

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Improving axial resolution in Structured Illumination Microscopy using deep learning.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Apr 26, 2021
Structured Illumination Microscopy (SIM) is a widespread methodology to image live and fixed biological structures smaller than the diffraction limits of conventional optical microscopy. Using recent advances in image up-scaling through deep learning...
Microscopy, Fluorescence Chromatin Optical Phenomena Image Processing, Computer-Assisted Microscopy, Confocal Humans Computer Simulation Deep Learning Imaging, Three-Dimensional Animals
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Deep Learning-Based Denoising in High-Speed Portable Reflectance Confocal Microscopy.

Lasers in surgery and medicine Apr 23, 2021
BACKGROUND AND OBJECTIVE: Portable confocal microscopy (PCM) is a low-cost reflectance confocal microscopy technique that can visualize cellular details of human skin in vivo. When PCM images are acquired with a short exposure time to reduce motion b...
Image Processing, Computer-Assisted Algorithms Microscopy, Confocal Deep Learning Signal-To-Noise Ratio Humans
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Deep Learning Algorithm for the Confirmation of Mucosal Healing in Crohn's Disease, Based on Confocal Laser Endomicroscopy Images.

Journal of gastrointestinal and liver diseases : JGLD Mar 12, 2021
BACKGROUND AND AIMS: Mucosal healing (MH) is associated with a stable course of Crohn's disease (CD) which can be assessed by confocal laser endomicroscopy (CLE). To minimize the operator's errors and automate assessment of CLE images, we used a deep...
Lasers Intestinal Mucosa Crohn Disease Humans Microscopy, Confocal Deep Learning Inflammation Algorithms
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Astrocyte regional heterogeneity revealed through machine learning-based glial neuroanatomical assays.

The Journal of comparative neurology Mar 8, 2021
Evaluation of reactive astrogliosis by neuroanatomical assays represents a common experimental outcome for neuroanatomists. The literature demonstrates several conflicting results as to the accuracy of such measures. We posited that the diverging res...
Machine Learning Animals Image Processing, Computer-Assisted Astrocytes Mice Microscopy, Confocal Gliosis Fluorescent Antibody Technique
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Deep learning systems detect dysplasia with human-like accuracy using histopathology and probe-based confocal laser endomicroscopy.

Scientific reports Mar 3, 2021
Probe-based confocal laser endomicroscopy (pCLE) allows for real-time diagnosis of dysplasia and cancer in Barrett's esophagus (BE) but is limited by low sensitivity. Even the gold standard of histopathology is hindered by poor agreement between path...
Microscopy, Confocal Esophagus Biopsy Deep Learning Image Processing, Computer-Assisted Data Accuracy Barrett Esophagus Esophageal Neoplasms Female Aged Male Middle Aged Sensitivity and Specificity Humans Prospective Studies
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High performance in risk stratification of intraductal papillary mucinous neoplasms by confocal laser endomicroscopy image analysis with convolutional neural networks (with video).

Gastrointestinal endoscopy Jan 16, 2021
BACKGROUND AND AIMS: EUS-guided needle-based confocal laser endomicroscopy (EUS-nCLE) can differentiate high-grade dysplasia/adenocarcinoma (HGD-Ca) in intraductal papillary mucinous neoplasms (IPMNs) but requires manual interpretation. We sought to ...
Pancreatic Neoplasms Endoscopic Ultrasound-Guided Fine Needle Aspiration Lasers Prospective Studies Risk Assessment Microscopy, Confocal Neural Networks, Computer Artificial Intelligence Humans
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A deep learning approach for staging embryonic tissue isolates with small data.

PloS one Jan 8, 2021
Machine learning approaches are becoming increasingly widespread and are now present in most areas of research. Their recent surge can be explained in part due to our ability to generate and store enormous amounts of data with which to train these mo...
Animals Deep Learning Tail Gene Expression Image Processing, Computer-Assisted Zebrafish Microscopy, Confocal Embryo, Nonmammalian
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Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net).

Medical image analysis Oct 7, 2020
In-vivo optical microscopy is advancing into routine clinical practice for non-invasively guiding diagnosis and treatment of cancer and other diseases, and thus beginning to reduce the need for traditional biopsy. However, reading and analysis of the...
Image Processing, Computer-Assisted Humans Neural Networks, Computer Microscopy, Confocal
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Diagnosis of congenital pigmented macules in infants with reflectance confocal microscopy and machine learning.

Journal of the American Academy of Dermatology Sep 11, 2020
Diagnosis, Differential Pigmentation Disorders Hutchinson's Melanotic Freckle Infant Microscopy, Confocal Humans Machine Learning Skin Neoplasms Dermoscopy
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A Deep Learning Model for Automated Sub-Basal Corneal Nerve Segmentation and Evaluation Using In Vivo Confocal Microscopy.

Translational vision science & technology Jun 18, 2020
PURPOSE: The purpose of this study was to establish a deep learning model for automated sub-basal corneal nerve fiber (CNF) segmentation and evaluation with in vivo confocal microscopy (IVCM).
Nerve Fibers Humans Cornea Deep Learning Neural Networks, Computer Microscopy, Confocal
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