AIMC Topic: Microscopy, Confocal
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Robust blind spectral unmixing for fluorescence microscopy using unsupervised learning.
PloS one
Dec 2, 2019
Due to the overlapping emission spectra of fluorophores, fluorescence microscopy images often have bleed-through problems, leading to a false positive detection. This problem is almost unavoidable when the samples are labeled with three or more fluor...
An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study.
Diabetologia
Nov 12, 2019
AIMS/HYPOTHESIS: Corneal confocal microscopy is a rapid non-invasive ophthalmic imaging technique that identifies peripheral and central neurodegenerative disease. Quantification of corneal sub-basal nerve plexus morphology, however, requires either ...
Computer-assisted assessment of colonic polyp histopathology using probe-based confocal laser endomicroscopy.
International journal of colorectal disease
Nov 6, 2019
INTRODUCTION: Probe-based confocal laser endomicroscopy (pCLE) is a promising modality for classifying polyp histology in vivo, but decision making in real-time is hampered by high-magnification targeting and by the learning curve for image interpret...
Tumor Burden
Colonic Polyps
Image Interpretation, Computer-Assisted
Predictive Value of Tests
Feasibility Studies
Colonic Neoplasms
Observer Variation
Female
Reproducibility of Results
Aged
Humans
Machine Learning
Clinical Competence
Microscopy, Confocal
Colonoscopy
Diagnosis, Computer-Assisted
Aged, 80 and over
Male
Middle Aged
Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning.
Nature methods
Nov 4, 2019
We demonstrate that a deep neural network can be trained to virtually refocus a two-dimensional fluorescence image onto user-defined three-dimensional (3D) surfaces within the sample. Using this method, termed Deep-Z, we imaged the neuronal activity ...
[Digital Image Processing and Deep Neural Networks in Ophthalmology - Current Trends].
Klinische Monatsblatter fur Augenheilkunde
Oct 31, 2019
The use of deep neural networks ("deep learning") creates new possibilities in digital image processing. This approach has been widely applied and successfully used for the evaluation of image data in ophthalmology. In this article, the methodologica...
Toward Automated Bladder Tumor Stratification Using Confocal Laser Endomicroscopy.
Journal of endourology
Oct 29, 2019
Urothelial carcinoma of the bladder (UCB) is the most common urinary cancer. White-light cystoscopy (WLC) forms the corner stone for the diagnosis of UCB. However, histopathological assessment is required for adjuvant treatment selection. Probe-base...
Intra- and Interspecies Variability of Single-Cell Innate Fluorescence Signature of Microbial Cell.
Applied and environmental microbiology
Aug 29, 2019
Here we analyzed the innate fluorescence signature of the single microbial cell, within both clonal and mixed populations of microorganisms. We found that even very similarly shaped cells differ noticeably in their autofluorescence features and that ...
Automatic diagnosis of fungal keratitis using data augmentation and image fusion with deep convolutional neural network.
Computer methods and programs in biomedicine
Aug 9, 2019
BACKGROUND AND OBJECTIVES: Fungal keratitis is caused by inflammation of the cornea that results from infection by fungal organisms. The lack of an early effective diagnosis often results in serious complications even blindness. Confocal microscopy i...
Deep transfer learning methods for colon cancer classification in confocal laser microscopy images.
International journal of computer assisted radiology and surgery
May 25, 2019
PURPOSE: The gold standard for colorectal cancer metastases detection in the peritoneum is histological evaluation of a removed tissue sample. For feedback during interventions, real-time in vivo imaging with confocal laser microscopy has been propos...
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy.
Medical image analysis
Feb 2, 2019
In recent years, endomicroscopy has become increasingly used for diagnostic purposes and interventional guidance. It can provide intraoperative aids for real-time tissue characterization and can help to perform visual investigations aimed for example...
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