AIMC Topic: Microscopy

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A practical guide to deep-learning light-field microscopy for 3D imaging of biological dynamics.

STAR protocols Jan 29, 2023
Here, we present a step-by-step protocol for the implementation of deep-learning-enhanced light-field microscopy enabling 3D imaging of instantaneous biological processes. We first provide the instructions to build a light-field microscope (LFM) capa...
Heart Microscopy Imaging, Three-Dimensional Deep Learning Neural Networks, Computer
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Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence.

Journal of visualized experiments : JoVE Jan 27, 2023
The micronucleus (MN) assay is used worldwide by regulatory bodies to evaluate chemicals for genetic toxicity. The assay can be performed in two ways: by scoring MN in once-divided, cytokinesis-blocked binucleated cells or fully divided mononucleated...
Microscopy Artificial Intelligence Automation Flow Cytometry Micronucleus Tests
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Identifying Bacteria Species on Microscopic Polyculture Images Using Deep Learning.

IEEE journal of biomedical and health informatics Jan 4, 2023
Preliminary microbiological diagnosis usually relies on microscopic examination and, due to the routine culture and bacteriological examination, lasts up to 11 days. Hence, many deep learning methods based on microscopic images were recently introduc...
Deep Learning Humans Microscopy
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DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning.

Genomics, proteomics & bioinformatics Jan 3, 2023
The high-content image-based assay is commonly leveraged for identifying the phenotypic impact of genetic perturbations in biology field. However, a persistent issue remains unsolved during experiments: the interferential technical noises caused by s...
Microscopy Humans Deep Learning Software
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Looking with new eyes: advanced microscopy and artificial intelligence in reproductive medicine.

Journal of assisted reproduction and genetics Dec 19, 2022
Microscopy has long played a pivotal role in the field of assisted reproductive technology (ART). The advent of artificial intelligence (AI) has opened the door for new approaches to sperm and oocyte assessment and selection, with the potential for i...
Artificial Intelligence Male Animals Reproductive Techniques, Assisted Microscopy Reproductive Medicine Semen
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ReCSAI: recursive compressed sensing artificial intelligence for confocal lifetime localization microscopy.

BMC bioinformatics Dec 8, 2022
BACKGROUND: Localization-based super-resolution microscopy resolves macromolecular structures down to a few nanometers by computationally reconstructing fluorescent emitter coordinates from diffraction-limited spots. The most commonly used algorithms...
Artificial Intelligence Microscopy Reproducibility of Results
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Using Simulated Training Data of Voxel-Level Generative Models to Improve 3D Neuron Reconstruction.

IEEE transactions on medical imaging Dec 2, 2022
Reconstructing neuron morphologies from fluorescence microscope images plays a critical role in neuroscience studies. It relies on image segmentation to produce initial masks either for further processing or final results to represent neuronal morpho...
Neurons Microscopy Imaging, Three-Dimensional Image Processing, Computer-Assisted Neural Networks, Computer
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Deep Learning-Powered Bessel-Beam Multiparametric Photoacoustic Microscopy.

IEEE transactions on medical imaging Dec 2, 2022
Enabling simultaneous and high-resolution quantification of the total concentration of hemoglobin ( [Formula: see text]), oxygen saturation of hemoglobin (sO2), and cerebral blood flow (CBF), multi-parametric photoacoustic microscopy (PAM) has emerge...
Deep Learning Mice Animals Spectrum Analysis Photoacoustic Techniques Microscopy Hemoglobins Brain
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Synthetic Micrographs of Bacteria (SyMBac) allows accurate segmentation of bacterial cells using deep neural networks.

BMC biology Nov 30, 2022
BACKGROUND: Deep-learning-based image segmentation models are required for accurate processing of high-throughput timelapse imaging data of bacterial cells. However, the performance of any such model strictly depends on the quality and quantity of tr...
Neural Networks, Computer Humans Machine Learning Microscopy Cell Cycle Bacteria
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Digital Histopathological Discrimination of Label-Free Tumoral Tissues by Artificial Intelligence Phase-Imaging Microscopy.

Sensors (Basel, Switzerland) Nov 29, 2022
Histopathology is the gold standard for disease diagnosis. The use of digital histology on fresh samples can reduce processing time and potential image artifacts, as label-free samples do not need to be fixed nor stained. This fact allows for a faste...
Algorithms Neural Networks, Computer Brain Humans Artificial Intelligence Microscopy
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