AIMC Topic: Microscopy

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Automating Wood Species Detection and Classification in Microscopic Images of Fibrous Materials with Deep Learning.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada Jul 4, 2024
We have developed a methodology for the systematic generation of a large image dataset of macerated wood references, which we used to generate image data for nine hardwood genera. This is the basis for a substantial approach to automate, for the firs...
Image Processing, Computer-Assisted Microscopy Wood Neural Networks, Computer Deep Learning
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A CNN-GNN Approach for Polarity Vectors Prediction in 3D 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, 2024
The polarity between nuclei and Golgi is an important aspect of cellular division, migration and signaling. For example, nucleus-Golgi polarity significantly impacts angiogenesis, the physiological process in which new blood vessels develop from pre-...
Cell Nucleus Golgi Apparatus Retina Microscopy Cell Polarity Algorithms Animals Imaging, Three-Dimensional Mice Neural Networks, Computer
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Deep Learning Method for Estimating Germ-layer Regions of Early Differentiated Human Induced Pluripotent Stem Cells on Micropattern Using Bright-field Microscopy Image.

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
Live cell staining is expensive and may bring potential safety issues in downstream clinical applications, bright-field images rather than staining images should be more suitable to reveal time-series changes of differentiating hiPSCs (human induced ...
Deep Learning Image Processing, Computer-Assisted Humans Induced Pluripotent Stem Cells Cell Differentiation Germ Layers 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...
Humans Blastocyst Algorithms Microscopy Female Image Processing, Computer-Assisted Deep Learning Fertilization in Vitro
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DL4MicEverywhere: deep learning for microscopy made flexible, shareable and reproducible.

Nature methods Jun 1, 2024
Microscopy Deep Learning Image Processing, Computer-Assisted Software Humans Reproducibility of Results
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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).
Microscopy Lactobacillus Vagina Vaginosis, Bacterial Deep Learning ROC Curve Algorithms Female Artificial Intelligence Humans Software
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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...
Microscopy Algorithms Hematologic Diseases Bone Marrow Humans Artificial Intelligence
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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...
Microscopy Deep Learning Image Processing, Computer-Assisted Diatoms Fresh Water
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AI under the microscope: the algorithms powering the search for cells.

Nature Nov 1, 2023
Cell Shape Artificial Intelligence Deep Learning Algorithms Microscopy
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