AIMC Topic: Microscopy, Fluorescence, Multiphoton

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Discrimination of the hierarchical structure of cortical layers in 2-photon microscopy data by combined unsupervised and supervised machine learning.

Scientific reports May 15, 2019
The laminar organization of the cerebral cortex is a fundamental characteristic of the brain, with essential implications for cortical function. Due to the rapidly growing amount of high-resolution brain imaging data, a great demand arises for automa...
Animals Supervised Machine Learning Neuroimaging Mice Unsupervised Machine Learning Cerebral Cortex Microscopy, Fluorescence, Multiphoton
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DoGNet: A deep architecture for synapse detection in multiplexed fluorescence images.

PLoS computational biology May 13, 2019
Neuronal synapses transmit electrochemical signals between cells through the coordinated action of presynaptic vesicles, ion channels, scaffolding and adapter proteins, and membrane receptors. In situ structural characterization of numerous synaptic ...
Models, Neurological Databases, Factual Computer Simulation Animals Image Processing, Computer-Assisted Cerebral Cortex Neural Networks, Computer Neurons Synaptic Transmission Software Synapses Mice Nerve Tissue Proteins Microscopy, Fluorescence, Multiphoton Computational Biology
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Fast and robust active neuron segmentation in two-photon calcium imaging using spatiotemporal deep learning.

Proceedings of the National Academy of Sciences of the United States of America Apr 11, 2019
Calcium imaging records large-scale neuronal activity with cellular resolution in vivo. Automated, fast, and reliable active neuron segmentation is a critical step in the analysis workflow of utilizing neuronal signals in real-time behavioral studies...
Image Processing, Computer-Assisted Visual Cortex Video Recording Mice Microscopy, Fluorescence, Multiphoton Neurons Mice, Transgenic Calcium Animals Deep Learning Humans
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Automated classification of hepatocellular carcinoma differentiation using multiphoton microscopy and deep learning.

Journal of biophotonics Apr 1, 2019
In the case of hepatocellular carcinoma (HCC) samples, classification of differentiation is crucial for determining prognosis and treatment strategy decisions. However, a label-free and automated classification system for HCC grading has not been yet...
Microscopy, Fluorescence, Multiphoton Image Processing, Computer-Assisted Automation Humans Deep Learning Liver Neoplasms Carcinoma, Hepatocellular
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Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models.

PloS one Mar 13, 2019
The health and function of tissue rely on its vasculature network to provide reliable blood perfusion. Volumetric imaging approaches, such as multiphoton microscopy, are able to generate detailed 3D images of blood vessels that could contribute to ou...
Alzheimer Disease Cerebral Cortex Mice, Transgenic Microscopy, Fluorescence, Multiphoton Humans Mice Cerebral Angiography Neural Networks, Computer Disease Models, Animal Animals Imaging, Three-Dimensional
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Analysis of Collagen Spatial Structure Using Multiphoton Microscopy and Machine Learning Methods.

Biochemistry. Biokhimiia Jan 1, 2019
Pathogenesis of many diseases is associated with changes in the collagen spatial structure. Traditionally, the 3D structure of collagen in biological tissues is analyzed using histochemistry, immunohistochemistry, magnetic resonance imaging, and X-ra...
Humans Machine Learning Collagen Microscopy, Fluorescence, Multiphoton
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Automated classification of multiphoton microscopy images of ovarian tissue using deep learning.

Journal of biomedical optics Jun 1, 2018
Histopathological image analysis of stained tissue slides is routinely used in tumor detection and classification. However, diagnosis requires a highly trained pathologist and can thus be time-consuming, labor-intensive, and potentially risk bias. He...
Ovary Microscopy, Fluorescence, Multiphoton Animals Algorithms Ovarian Neoplasms Mice Neural Networks, Computer Female Machine Learning Neoplasm Staging
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