AIMC Topic: Microscopy

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Automated Microscopy Image Segmentation and Analysis with Machine Learning.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
The development of automated quantitative image analysis pipelines requires thoughtful considerations to extract meaningful information. Commonly, extraction rules for quantitative parameters are defined and agreed beforehand to ensure repeatability ...
Image Processing, Computer-Assisted Microscopy Machine Learning
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Deep learning multi-shot 3D localization microscopy using hybrid optical-electronic computing.

Optics letters Dec 15, 2021
Current 3D localization microscopy approaches are fundamentally limited in their ability to image thick, densely labeled specimens. Here, we introduce a hybrid optical-electronic computing approach that jointly optimizes an optical encoder (a set of ...
Electronics Microscopy Algorithms 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...
Image Processing, Computer-Assisted Microscopy Neural Networks, Computer Deep Learning Time-Lapse Imaging
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Highly accurate differentiation of bone marrow cell morphologies using deep neural networks on a large image data set.

Blood Nov 18, 2021
Biomedical applications of deep learning algorithms rely on large expert annotated data sets. The classification of bone marrow (BM) cell cytomorphology, an important cornerstone of hematological diagnosis, is still done manually thousands of times e...
Hematologic Diseases Microscopy Image Processing, Computer-Assisted Bone Marrow Cells Cell Differentiation Humans Neural Networks, Computer
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CellProfiler Analyst 3.0: accessible data exploration and machine learning for image analysis.

Bioinformatics (Oxford, England) Nov 5, 2021
SUMMARY: Image-based experiments can yield many thousands of individual measurements describing each object of interest, such as cells in microscopy screens. CellProfiler Analyst is a free, open-source software package designed for the exploration of...
Neural Networks, Computer Software Image Processing, Computer-Assisted Machine Learning Microscopy
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Deep Phenotypic Cell Classification using Capsule Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Recent developments in ultra-high-throughput microscopy have created a new generation of cell classification methodologies focused solely on image-based cell phenotypes. These image-based analyses enable morphological profiling and screening of thous...
Image Processing, Computer-Assisted Microscopy Neural Networks, Computer
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Blind microscopy image denoising with a deep residual and multiscale encoder/decoder network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
In computer-aided diagnosis (CAD) focused on microscopy, denoising improves the quality of image analysis. In general, the accuracy of this process may depend both on the experience of the microscopist and on the equipment sensitivity and specificity...
Sensitivity and Specificity Microscopy Diagnosis, Computer-Assisted Neural Networks, Computer Image Processing, Computer-Assisted
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Combining collective and artificial intelligence for global health diseases diagnosis using crowdsourced annotated medical images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Visual inspection of microscopic samples is still the gold standard diagnostic methodology for many global health diseases. Soil-transmitted helminth infection affects 1.5 billion people worldwide, and is the most prevalent disease among the Neglecte...
Neural Networks, Computer Global Health Artificial Intelligence Humans Microscopy Crowdsourcing Child
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An Effective Deep Learning Framework for Cell Segmentation in Microscopy Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Cell segmentation is a common step in cell behavior analysis. Reliably and automatically segmenting cells in microscopy images remains challenging, especially in differential inference contrast microscopy images and phase-contrast microscopy images. ...
HeLa Cells Deep Learning Humans Microscopy Image Processing, Computer-Assisted
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Deep Learning-Assisted Multiphoton Microscopy to Reduce Light Exposure and Expedite Imaging in Tissues With High and Low Light Sensitivity.

Translational vision science & technology Oct 4, 2021
PURPOSE: Two-photon excitation fluorescence (2PEF) reveals information about tissue function. Concerns for phototoxicity demand lower light exposure during imaging. Reducing excitation light reduces the quality of the image by limiting fluorescence e...
Magnetic Resonance Imaging Deep Learning Photophobia Image Processing, Computer-Assisted Humans Microscopy
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