AIMC Topic: Microscopy

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Pseudo-nuclear staining of cells by deep learning improves the accuracy of automated cell counting in a label-free cellular population.

Journal of bioscience and bioengineering Oct 17, 2020
Deep learning has emerged as a breakthrough tool for the segmentation of images without supporting human experts. Here, we propose an automated approach that uses deep learning to generate pseudo-nuclear staining of cells from phase contrast images. ...
Humans Deep Learning Staining and Labeling Cell Count Microscopy Automation
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Optimization of an automated tumor-infiltrating lymphocyte algorithm for improved prognostication in primary melanoma.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Oct 1, 2020
Tumor-infiltrating lymphocytes (TIL) have potential prognostic value in melanoma and have been considered for inclusion in the American Joint Committee on Cancer (AJCC) staging criteria. However, interobserver discordance continues to prevent the ado...
Risk Assessment Disease Progression Diagnosis, Computer-Assisted Lymphocytes, Tumor-Infiltrating Tumor Microenvironment Male Middle Aged Progression-Free Survival Microscopy Image Interpretation, Computer-Assisted Lymphocyte Count Predictive Value of Tests Neoplasm Staging Biopsy Neoplasm Recurrence, Local Retrospective Studies Humans Reproducibility of Results Female Machine Learning Risk Factors Melanoma Automation, Laboratory Aged Skin Neoplasms Databases, Factual Adult
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Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma.

Virchows Archiv : an international journal of pathology Sep 26, 2020
In patients with suspected lymphoma, the tissue biopsy provides lymphoma confirmation, classification, and prognostic factors, including genetic changes. We developed a deep learning algorithm to detect MYC rearrangement in scanned histological slide...
Phenotype Reproducibility of Results Biomarkers, Tumor Lymphoma, Large B-Cell, Diffuse Deep Learning Genetic Predisposition to Disease Staining and Labeling Humans Proto-Oncogene Proteins c-myc Predictive Value of Tests Image Interpretation, Computer-Assisted Translocation, Genetic Microscopy Immunohistochemistry In Situ Hybridization, Fluorescence Proof of Concept Study Antigens, CD20
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Performance of a deep learning based neural network in the selection of human blastocysts for implantation.

eLife Sep 15, 2020
Deep learning in in vitro fertilization is currently being evaluated in the development of assistive tools for the determination of transfer order and implantation potential using time-lapse data collected through expensive imaging hardware. Assistiv...
Pregnancy Outcome Blastocyst Microscopy Deep Learning Image Processing, Computer-Assisted Fertilization in Vitro Humans Algorithms Pregnancy Female Adult Male
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NuSeT: A deep learning tool for reliably separating and analyzing crowded cells.

PLoS computational biology Sep 14, 2020
Segmenting cell nuclei within microscopy images is a ubiquitous task in biological research and clinical applications. Unfortunately, segmenting low-contrast overlapping objects that may be tightly packed is a major bottleneck in standard deep learni...
Artifacts Cell Nucleus Software Algorithms Deep Learning Image Processing, Computer-Assisted Computational Biology Microscopy HeLa Cells Humans
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Interactive machine learning for fast and robust cell profiling.

PloS one Sep 11, 2020
Automated profiling of cell morphology is a powerful tool for inferring cell function. However, this technique retains a high barrier to entry. In particular, configuring image processing parameters for optimal cell profiling is susceptible to cognit...
Image Processing, Computer-Assisted Humans Bayes Theorem Machine Learning Microscopy Algorithms
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Mimicry Embedding Facilitates Advanced Neural Network Training for Image-Based Pathogen Detection.

mSphere Sep 9, 2020
The use of deep neural networks (DNNs) for analysis of complex biomedical images shows great promise but is hampered by a lack of large verified data sets for rapid network evolution. Here, we present a novel strategy, termed "mimicry embedding," for...
Artificial Intelligence Animals Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Vaccinia virus Toxoplasma Zebrafish Microscopy Host-Pathogen Interactions
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Deep Learning for Assessing the Corneal Endothelium from Specular Microscopy Images up to 1 Year after Ultrathin-DSAEK Surgery.

Translational vision science & technology Aug 21, 2020
PURPOSE: To present a fully automatic method to estimate the corneal endothelium parameters from specular microscopy images and to use it to study a one-year follow-up after ultrathin Descemet stripping automated endothelial keratoplasty.
Deep Learning Reproducibility of Results Cell Count Endothelium, Corneal Microscopy
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Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Aug 5, 2020
The Gleason score is the most important prognostic marker for prostate cancer patients, but it suffers from significant observer variability. Artificial intelligence (AI) systems based on deep learning can achieve pathologist-level performance at Gle...
Prostatic Neoplasms Neoplasm Grading Biopsy Pathologists Diagnosis, Computer-Assisted Humans Deep Learning Microscopy Reproducibility of Results Predictive Value of Tests Image Interpretation, Computer-Assisted Male Observer Variation
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High spatially sensitive quantitative phase imaging assisted with deep neural network for classification of human spermatozoa under stressed condition.

Scientific reports Aug 4, 2020
Sperm cell motility and morphology observed under the bright field microscopy are the only criteria for selecting a particular sperm cell during Intracytoplasmic Sperm Injection (ICSI) procedure of Assisted Reproductive Technology (ART). Several fact...
Spermatozoa Microscopy Male Signal-To-Noise Ratio Deep Learning Humans Image Processing, Computer-Assisted Hydrogen Peroxide Cryopreservation Oxidative Stress Ethanol
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