AIMC Topic: Microscopy

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Classification, identification, and growth stage estimation of microalgae based on transmission hyperspectral microscopic imaging and machine learning.

Optics express Oct 12, 2020
A transmission hyperspectral microscopic imager (THMI) that utilizes machine learning algorithms for hyperspectral detection of microalgae is presented. The THMI system has excellent performance with spatial and spectral resolutions of 4 µm and 3 nm,...
Absorption, Radiation Species Specificity Solutions Support Vector Machine Principal Component Analysis Hyperspectral Imaging Microalgae Microscopy Machine Learning
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Deep Learning for Virtual Histological Staining of Bright-Field Microscopic Images of Unlabeled Carotid Artery Tissue.

Molecular imaging and biology Oct 1, 2020
PURPOSE: Histological analysis of artery tissue samples is a widely used method for diagnosis and quantification of cardiovascular diseases. However, the variable and labor-intensive tissue staining procedures hinder efficient and informative histolo...
Rats, Sprague-Dawley Neural Networks, Computer Microscopy Animals Carotid Arteries Male Deep Learning Staining and Labeling
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Classification of cell morphology with quantitative phase microscopy and machine learning.

Optics express Aug 3, 2020
We describe and compare two machine learning approaches for cell classification based on label-free quantitative phase imaging with transport of intensity equation methods. In one approach, we design a multilevel integrated machine learning classifie...
Humans Macrophages Animals ROC Curve Machine Learning Algorithms Neural Networks, Computer Microscopy Cell Shape Image Processing, Computer-Assisted Area Under Curve
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An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study.

The Lancet. Digital health Aug 1, 2020
BACKGROUND: There is high demand to develop computer-assisted diagnostic tools to evaluate prostate core needle biopsies (CNBs), but little clinical validation and a lack of clinical deployment of such tools. We report here on a blinded clinical vali...
Biopsy, Large-Core Needle Pathology, Clinical Microscopy Image Interpretation, Computer-Assisted Area Under Curve Prostatic Neoplasms Prostate Pathologists Neoplasm Grading Male Middle Aged ROC Curve Aged, 80 and over Adult Humans Data Analysis Algorithms Artificial Intelligence Aged
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Multi-Target Deep Learning for Algal Detection and Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Water quality has a direct impact on industry, agriculture, and public health. Algae species are common indicators of water quality. It is because algal communities are sensitive to changes in their habitats, giving valuable knowledge on variations i...
Water Quality Agriculture Plants Microscopy Deep Learning
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Prediction for Morphology and States of Stem Cell Colonies using a LSTM Network with Progressive Training Microscopy Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
We present a new LSTM (P-LSTM: Progressive LSTM) network, aiming to predict morphology and states of cell colonies from time-lapse microscopy images. Apparent short-term changes occur in some types of time-lapse cell images. Therefore, long-term-memo...
Humans Algorithms Stem Cells Microscopy Neural Networks, Computer Memory, Long-Term
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Recognizing Magnification Levels in Microscopic Snapshots.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Recent advances in digital imaging has transformed computer vision and machine learning to new tools for analyzing pathology images. This trend could automate some of the tasks in the diagnostic pathology and elevate the pathologist workload. The fin...
Microscopy Neural Networks, Computer Machine Learning Biopsy
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[Detection of white blood cells in microscopic leucorrhea images based on deep active learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Jun 25, 2020
The number of white blood cells in the leucorrhea microscopic image can indicate the severity of vaginal inflammation. At present, the detection of white blood cells in leucorrhea mainly relies on manual microscopy by medical experts, which is time-c...
Vaginal Diseases Humans Neural Networks, Computer Leukocytes Microscopy Algorithms Leukorrhea Female
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Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF.

Human reproduction (Oxford, England) Apr 28, 2020
STUDY QUESTION: Can an artificial intelligence (AI)-based model predict human embryo viability using images captured by optical light microscopy?
Microscopy Fertilization in Vitro Humans Pregnancy Australia Artificial Intelligence Retrospective Studies Female
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Machine Learning for Analysis of Microscopy Images: A Practical Guide.

Current protocols in cell biology Mar 1, 2020
The explosive growth of machine learning has provided scientists with insights into data in ways unattainable using prior research techniques. It has allowed the detection of biological features that were previously unrecognized and overlooked. Howev...
Humans Image Processing, Computer-Assisted Machine Learning Artificial Intelligence Microscopy
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