AIMC Topic: Microscopy

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Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy.

PloS one Dec 8, 2020
The accurate segmentation and tracking of cells in microscopy image sequences is an important task in biomedical research, e.g., for studying the development of tissues, organs or entire organisms. However, the segmentation of touching cells in image...
Image Processing, Computer-Assisted Algorithms Microscopy Optical Imaging Deep Learning Cell Tracking HeLa Cells Humans Neural Networks, Computer
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The design and application of an automated microscope developed based on deep learning for fungal detection in dermatology.

Mycoses Dec 7, 2020
BACKGROUND: Light microscopy to study the infection of fungi in skin specimens is time-consuming and requires automation.
Deep Learning Image Processing, Computer-Assisted Microscopy, Fluorescence Automation, Laboratory Sensitivity and Specificity Microscopy Nails Hair Skin Fungi Humans
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An end-to-end breast tumour classification model using context-based patch modelling - A BiLSTM approach for image classification.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Dec 4, 2020
Researchers working on computational analysis of Whole Slide Images (WSIs) in histopathology have primarily resorted to patch-based modelling due to large resolution of each WSI. The large resolution makes WSIs infeasible to be fed directly into the ...
Machine Learning Female Breast Neoplasms Humans Neural Networks, Computer Models, Theoretical Microscopy
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Super resolution microscopy and deep learning identify Zika virus reorganization of the endoplasmic reticulum.

Scientific reports Dec 1, 2020
The endoplasmic reticulum (ER) is a complex subcellular organelle composed of diverse structures such as tubules, sheets and tubular matrices. Flaviviruses such as Zika virus (ZIKV) induce reorganization of ER membranes to facilitate viral replicatio...
Humans Brain Deep Learning Viral Nonstructural Proteins Extracellular Matrix Endoplasmic Reticulum Zika Virus RNA, Double-Stranded Cell Line, Tumor Organoids Zika Virus Infection Microscopy
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A deep learning diagnostic platform for diffuse large B-cell lymphoma with high accuracy across multiple hospitals.

Nature communications Nov 26, 2020
Diagnostic histopathology is a gold standard for diagnosing hematopoietic malignancies. Pathologic diagnosis requires labor-intensive reading of a large number of tissue slides with high diagnostic accuracy equal or close to 100 percent to guide trea...
Diagnosis, Differential Biopsy Coloring Agents Microscopy Feasibility Studies Deep Learning Staining and Labeling Lymph Nodes Lymphoma, Large B-Cell, Diffuse Hospitals Humans Hematoxylin Image Interpretation, Computer-Assisted Eosine Yellowish-(YS)
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Detecting cells in intravital video microscopy using a deep convolutional neural network.

Computers in biology and medicine Nov 21, 2020
The analysis of leukocyte recruitment in intravital video microscopy (IVM) is essential to the understanding of inflammatory processes. However, because IVM images often present a large variety of visual characteristics, it is hard for an expert huma...
Humans Neural Networks, Computer Microscopy Microscopy, Video Machine Learning Image Processing, Computer-Assisted
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A convolutional neural network segments yeast microscopy images with high accuracy.

Nature communications Nov 12, 2020
The identification of cell borders ('segmentation') in microscopy images constitutes a bottleneck for large-scale experiments. For the model organism Saccharomyces cerevisiae, current segmentation methods face challenges when cells bud, crowd, or exh...
Image Processing, Computer-Assisted Microscopy Cell Cycle Saccharomyces cerevisiae Neural Networks, Computer Software
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Deeply-supervised density regression for automatic cell counting in microscopy images.

Medical image analysis Nov 11, 2020
Accurately counting the number of cells in microscopy images is required in many medical diagnosis and biological studies. This task is tedious, time-consuming, and prone to subjective errors. However, designing automatic counting methods remains cha...
Microscopy Neural Networks, Computer Image Processing, Computer-Assisted
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Deep learning in deep time.

Proceedings of the National Academy of Sciences of the United States of America Nov 9, 2020
Neural Networks, Computer Deep Learning Pollen Fossils Microscopy
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Learning Diatoms Classification from a Dry Test Slide by Holographic Microscopy.

Sensors (Basel, Switzerland) Nov 7, 2020
Diatoms are among the dominant phytoplankters in marine and freshwater habitats, and important biomarkers of water quality, making their identification and classification one of the current challenges for environmental monitoring. To date, taxonomy o...
Holography Diatoms Machine Learning Microscopy Neural Networks, Computer
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