AIMC Topic: Time-Lapse Imaging

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Time-Lapse Imaging and Artificial Intelligence: It is Just the End of the Beginning!

Journal of obstetrics and gynaecology Canada : JOGC = Journal d'obstetrique et gynecologie du Canada : JOGC Sep 1, 2024
Female Time-Lapse Imaging Artificial Intelligence Pregnancy Humans
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Imagerie time-lapse et intelligence artificielle : Ce n'est que la fin du début!

Journal of obstetrics and gynaecology Canada : JOGC = Journal d'obstetrique et gynecologie du Canada : JOGC Sep 1, 2024
Pregnancy Female Time-Lapse Imaging Humans Artificial Intelligence
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Machine learning in time-lapse imaging to differentiate embryos from young vs old mice†.

Biology of reproduction Jun 12, 2024
Time-lapse microscopy for embryos is a non-invasive technology used to characterize early embryo development. This study employs time-lapse microscopy and machine learning to elucidate changes in embryonic growth kinetics with maternal aging. We anal...
Animals Aging Pregnancy Female Embryo, Mammalian Embryonic Development Time-Lapse Imaging Mice Mice, Inbred C57BL Machine Learning
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Generative artificial intelligence to produce high-fidelity blastocyst-stage embryo images.

Human reproduction (Oxford, England) Jun 3, 2024
STUDY QUESTION: Can generative artificial intelligence (AI) models produce high-fidelity images of human blastocysts?
Fertilization in Vitro Female Humans Image Processing, Computer-Assisted Artificial Intelligence Blastocyst Time-Lapse Imaging
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Deep Learning-Based Cell Tracking in Deforming Organs and Moving Animals.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2024
Cell tracking is an essential step in extracting cellular signals from moving cells, which is vital for understanding the mechanisms underlying various biological functions and processes, particularly in organs such as the brain and heart. However, c...
Cell Movement Cell Tracking Time-Lapse Imaging Deep Learning Image Processing, Computer-Assisted Brain Animals
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Automated detection of apoptotic bodies and cells in label-free time-lapse high-throughput video microscopy using deep convolutional neural networks.

Bioinformatics (Oxford, England) Oct 3, 2023
MOTIVATION: Reliable label-free methods are needed for detecting and profiling apoptotic events in time-lapse cell-cell interaction assays. Prior studies relied on fluorescent markers of apoptosis, e.g. Annexin-V, that provide an inconsistent and lat...
Neural Networks, Computer Extracellular Vesicles Microscopy, Video Humans Time-Lapse Imaging Annexins
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A hybrid artificial intelligence model leverages multi-centric clinical data to improve fetal heart rate pregnancy prediction across time-lapse systems.

Human reproduction (Oxford, England) Apr 3, 2023
STUDY QUESTION: Can artificial intelligence (AI) algorithms developed to assist embryologists in evaluating embryo morphokinetics be enriched with multi-centric clinical data to better predict clinical pregnancy outcome?
Pregnancy Female Embryo Transfer Pregnancy Rate Humans Artificial Intelligence Time-Lapse Imaging Fertilization in Vitro Heart Rate, Fetal
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Prediction of Human Induced Pluripotent Stem Cell Formation Based on Deep Learning Analyses Using Time-lapse Brightfield 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, 2022
We use deep learning methods to predict human induced pluripotent stem cell (hiPSC) formation using time-lapse brightfield microscopy images taken from a cell identified as the beginning of entered into the reprogramming process. A U-net is used to s...
Induced Pluripotent Stem Cells Time Factors Time-Lapse Imaging Microscopy Humans Deep Learning
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3D time-lapse imaging of a mouse embryo using intensity diffraction tomography embedded inside a deep learning framework.

Applied optics Apr 20, 2022
We present a compact 3D diffractive microscope that can be inserted directly in a cell incubator for long-term observation of developing organisms. Our setup is particularly simple and robust, since it does not include any moving parts and is compati...
Tomography Time-Lapse Imaging Mice Refractometry Animals Tomography, X-Ray Computed Deep Learning
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Automatic improvement of deep learning-based cell segmentation in time-lapse microscopy by neural architecture search.

Bioinformatics (Oxford, England) Dec 11, 2021
MOTIVATION: Live cell segmentation is a crucial step in biological image analysis and is also a challenging task because time-lapse microscopy cell sequences usually exhibit complex spatial structures and complicated temporal behaviors. In recent yea...
Time-Lapse Imaging Image Processing, Computer-Assisted Microscopy Neural Networks, Computer Deep Learning
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