AIMC Topic: Microscopy

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Embryonic Quality Assessment using Advanced Deep Learning Architectures utilizing Microscopic Images of Blastocysts.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
The accurate evaluation of embryonic quality which is a key aspect in Assisted Reproductive Technology (ART) and it is crucial to ensure the success of in vitro fertilization (IVF), especially at critical developmental phases like day 3 and day 5. To...
Female Deep Learning Humans Algorithms Blastocyst Microscopy Image Processing, Computer-Assisted Fertilization in Vitro
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DL4MicEverywhere: deep learning for microscopy made flexible, shareable and reproducible.

Nature methods Jun 1, 2024
Reproducibility of Results Image Processing, Computer-Assisted Humans Deep Learning Microscopy Software
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[Preliminary Study on the Identification of Aerobic Vaginitis by Artificial Intelligence Analysis System].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Mar 20, 2024
OBJECTIVE: To develop an artificial intelligence vaginal secretion analysis system based on deep learning and to evaluate the accuracy of automated microscopy in the clinical diagnosis of aerobic vaginitis (AV).
Vagina Vaginosis, Bacterial Microscopy Lactobacillus Algorithms Female Deep Learning ROC Curve Artificial Intelligence Software Humans
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Digital Microscopy Augmented by Artificial Intelligence to Interpret Bone Marrow Samples for Hematological Diseases.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada Mar 7, 2024
Analysis of bone marrow aspirates (BMAs) is an essential step in the diagnosis of hematological disorders. This analysis is usually performed based on a visual examination of samples under a conventional optical microscope, which involves a labor-int...
Algorithms Bone Marrow Humans Artificial Intelligence Microscopy Hematologic Diseases
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SuperCUT, an unsupervised multimodal image registration with deep learning for biomedical microscopy.

Briefings in bioinformatics Jan 22, 2024
Numerous imaging techniques are available for observing and interrogating biological samples, and several of them can be used consecutively to enable correlative analysis of different image modalities with varying resolutions and the inclusion of str...
Humans Deep Learning Microscopy
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"UDE DIATOMS in the Wild 2024": a new image dataset of freshwater diatoms for training deep learning models.

GigaScience Jan 2, 2024
BACKGROUND: Diatoms are microalgae with finely ornamented microscopic silica shells. Their taxonomic identification by light microscopy is routinely used as part of community ecological research as well as ecological status assessment of aquatic ecos...
Diatoms Fresh Water Deep Learning Microscopy Image Processing, Computer-Assisted
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AI under the microscope: the algorithms powering the search for cells.

Nature Nov 1, 2023
Algorithms Deep Learning Microscopy Cell Shape Artificial Intelligence
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NeuroCellCentreDB: Exploring a Novel Dataset for Neuron-like Cell Centre Detection with Deep Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
The manipulation and stimulation of cell growth is invaluable for neuroscience research such as brain-machine interfaces or applications of neural tissue engineering. For the implementation of such research avenues, in particular the analysis of cell...
Microscopy Cell Proliferation Neural Networks, Computer Automation Neurons
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Deep-Learning Based Quantification of Bovine Oocyte Quality From 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, 2023
The success rate of bovine in vitro embryo reproduction is low and highly dependent on the oocyte quality. The selection of the oocyte to be fertilized is done by the embryologists' visual examination of oocytes. It is time-consuming, subjective, and...
Blastocyst Microscopy Deep Learning Cattle Oocytes Humans In Vitro Oocyte Maturation Techniques Animals
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Machine Learning for Analysis of Microscopy Images: A Practical Guide and Latest Trends.

Current protocols Jul 1, 2023
The explosive growth of Machine Learning provided scientists with insights into the data in the ways unattainable using established research techniques. It allowed the detection of biological features that were previously unrecognized and overlooked....
Neural Networks, Computer Microscopy Machine Learning Surveys and Questionnaires Workflow
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