AIMC Topic: Microscopy

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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...
Neural Networks, Computer Algorithms Humans Female Leukocytes Leukorrhea Vaginal Diseases Microscopy
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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?
Retrospective Studies Pregnancy Microscopy Fertilization in Vitro Australia Female Humans Artificial Intelligence
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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 Artificial Intelligence Machine Learning Image Processing, Computer-Assisted Microscopy
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Deep learning predicts function of live retinal pigment epithelium from quantitative microscopy.

The Journal of clinical investigation Feb 3, 2020
Increases in the number of cell therapies in the preclinical and clinical phases have prompted the need for reliable and noninvasive assays to validate transplant function in clinical biomanufacturing. We developed a robust characterization methodolo...
Cell Differentiation Microscopy Deep Learning Image Processing, Computer-Assisted Retinal Pigment Epithelium Induced Pluripotent Stem Cells Humans
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In vitro monitoring of photoinduced necrosis in HeLa cells using digital holographic microscopy and machine learning.

Journal of the Optical Society of America. A, Optics, image science, and vision Feb 1, 2020
Digital holographic microscopy supplemented with the developed cell segmentation and machine learning and classification algorithms is implemented for quantitative description of the dynamics of cellular necrosis induced by photodynamic treatment in ...
HeLa Cells Necrosis Holography Cell Survival Microscopy Machine Learning Image Processing, Computer-Assisted Humans
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[Artificial intelligence (AI) and hematological diseases: establishment of a peripheral blood convolutional neural network (CNN)-based digital morphology analysis system].

[Rinsho ketsueki] The Japanese journal of clinical hematology Jan 1, 2020
Morphological analysis of the blood smear is an essential element of diagnosing a disease hematologically and has been performed by conventional manual light microscopy for several decades. Although this method is the gold standard, it is labor-inten...
Neural Networks, Computer Artificial Intelligence Hematologic Diseases Hematologic Tests Microscopy Humans
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Deep representation learning for domain adaptable classification of infrared spectral imaging data.

Bioinformatics (Oxford, England) Jan 1, 2020
MOTIVATION: Applying infrared microscopy in the context of tissue diagnostics heavily relies on computationally preprocessing the infrared pixel spectra that constitute an infrared microscopic image. Existing approaches involve physical models, which...
Models, Theoretical Microscopy Pathology Spectrophotometry, Infrared Imaging, Three-Dimensional Computational Biology Neural Networks, Computer Deep Learning
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THE PROJECT OF ANOTHER LOW-COST METAPHASE FINDER (SECOND REPORT-APPLICATION OF ARTIFICIAL INTELLIGENCE).

Radiation protection dosimetry Dec 31, 2019
Biological dosimetry is used to estimate individual absorbed radiation dose by quantifying an appropriate biological marker. The most popular gold-standard marker is the appearance of dicentric chromosomes in metaphase. The metaphase finder is a tool...
Humans Metaphase Artificial Intelligence Lymphocytes Microscopy Chromosome Aberrations Software Radiation Dosage Cytogenetic Analysis
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Super-resolution recurrent convolutional neural networks for learning with multi-resolution whole slide images.

Journal of biomedical optics Dec 1, 2019
We study a problem scenario of super-resolution (SR) algorithms in the context of whole slide imaging (WSI), a popular imaging modality in digital pathology. Instead of just one pair of high- and low-resolution images, which is typically the setup in...
Neoplasms Machine Learning Humans Image Interpretation, Computer-Assisted Algorithms Microscopy Neural Networks, Computer Histological Techniques
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Deep learning gets scope time.

Nature methods Dec 1, 2019
Microscopy Humans Deep Learning
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