AIMC Topic: Microscopy

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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 Microscopy Humans
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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 Software Humans Deep Learning
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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...
Reproductive Techniques, Assisted Reproductive Medicine Male Microscopy Semen Artificial Intelligence Animals
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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...
Neural Networks, Computer Imaging, Three-Dimensional Neurons Microscopy Image Processing, Computer-Assisted
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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...
Microscopy Spectrum Analysis Hemoglobins Photoacoustic Techniques Animals Mice Brain Deep Learning
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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 Bacteria Machine Learning Cell Cycle Microscopy
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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 Brain Neural Networks, Computer Artificial Intelligence Microscopy Humans
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Human induced pluripotent stem cell formation and morphology prediction during reprogramming with time-lapse bright-field microscopy images using deep learning methods.

Computer methods and programs in biomedicine Nov 28, 2022
BACKGROUND AND OBJECTIVE: Human induced pluripotent stem cells (hiPSCs) represent an ideal source for patient specific cell-based regenerative medicine; however, efficiency of hiPSC formation from reprogramming cells is low. We use several deep-learn...
Induced Pluripotent Stem Cells Time-Lapse Imaging Microscopy Deep Learning Cell Differentiation Humans
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Portable, Automated and Deep-Learning-Enabled Microscopy for Smartphone-Tethered Optical Platform Towards Remote Homecare Diagnostics: A Review.

Small methods Nov 24, 2022
Globally new pandemic diseases induce urgent demands for portable diagnostic systems to prevent and control infectious diseases. Smartphone-based portable diagnostic devices are significantly efficient tools to user-friendly connect personalized heal...
Microscopy Deep Learning COVID-19 Lenses Smartphone Humans
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