AIMC Topic: Microscopy

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Enhancing classification in correlative microscopy using multiple classifier systems with dynamic selection.

Ultramicroscopy Jun 6, 2022
Correlative microscopy combines data from different microscopical techniques to gain unique insights about specimens. A key requirement to unlocking the full potential is an advanced classification method that can combine the various analytical signa...
ROC Curve Machine Learning Microscopy
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Open-source personal pipetting robots with live-cell incubation and microscopy compatibility.

Nature communications May 30, 2022
Liquid handling robots have the potential to automate many procedures in life sciences. However, they are not in widespread use in academic settings, where funding, space and maintenance specialists are usually limiting. In addition, current robots r...
Software Robotics Biological Science Disciplines Microscopy
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Precise measurement of nanoscopic septin ring structures with deep learning-assisted quantitative superresolution microscopy.

Molecular biology of the cell May 20, 2022
The combination of image analysis and superresolution microscopy methods allows for unprecedented insight into the organization of macromolecular assemblies in cells. Advances in deep learning (DL)-based object recognition enable the automated proces...
Cytoskeleton Septins Single Molecule Imaging Deep Learning Macromolecular Substances Microscopy
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Machine learning phenomics (MLP) combining deep learning with time-lapse-microscopy for monitoring colorectal adenocarcinoma cells gene expression and drug-response.

Scientific reports May 20, 2022
High-throughput phenotyping is becoming increasingly available thanks to analytical and bioinformatics approaches that enable the use of very high-dimensional data and to the availability of dynamic models that link phenomena across levels: from gene...
Machine Learning Phenomics Humans Phenotype Colorectal Neoplasms Adenocarcinoma Deep Learning Gene Expression Microscopy Time-Lapse Imaging
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Automated rare sperm identification from low-magnification microscopy images of dissociated microsurgical testicular sperm extraction samples using deep learning.

Fertility and sterility May 10, 2022
OBJECTIVE: To develop a machine learning algorithm to detect rare human sperm in semen and microsurgical testicular sperm extraction (microTESE) samples using bright-field (BF) microscopy for nonobstructive azoospermia patients.
Male Deep Learning Humans Spermatozoa Azoospermia Sperm Retrieval Testis Microscopy Oligospermia
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Analysis of Deep Learning-Based Phase Retrieval Algorithm Performance for Quantitative Phase Imaging Microscopy.

Sensors (Basel, Switzerland) May 6, 2022
Quantitative phase imaging has been of interest to the science and engineering community and has been applied in multiple research fields and applications. Recently, the data-driven approach of artificial intelligence has been utilized in several opt...
Microscopy Artificial Intelligence Algorithms Reproducibility of Results Deep Learning
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Challenges and advances in optical 3D mesoscale imaging.

Journal of microscopy May 5, 2022
Optical mesoscale imaging is a rapidly developing field that allows the visualisation of larger samples than is possible with standard light microscopy, and fills a gap between cell and organism resolution. It spans from advanced fluorescence imaging...
Microscopy Optical Imaging Tomography Artificial Intelligence Imaging, Three-Dimensional
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Deep-Learning-Based Automated Neuron Reconstruction From 3D Microscopy Images Using Synthetic Training Images.

IEEE transactions on medical imaging May 2, 2022
Digital reconstruction of neuronal structures from 3D microscopy images is critical for the quantitative investigation of brain circuits and functions. It is a challenging task that would greatly benefit from automatic neuron reconstruction methods. ...
Image Processing, Computer-Assisted Neurons Deep Learning Imaging, Three-Dimensional Microscopy Algorithms
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High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning.

Journal of visualized experiments : JoVE Apr 28, 2022
Surgical margin analysis (SMA), an essential procedure to confirm the complete excision of cancerous tissue in tumor resection surgery, requires intraoperative diagnostic tools to avoid repeated surgeries due to a positive surgical margin. Recently, ...
Staining and Labeling Microscopy Spectrum Analysis Photoacoustic Techniques Deep Learning Mice Animals
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Deep learning -- promises for 3D nuclear imaging: a guide for biologists.

Journal of cell science Apr 14, 2022
For the past century, the nucleus has been the focus of extensive investigations in cell biology. However, many questions remain about how its shape and size are regulated during development, in different tissues, or during disease and aging. To trac...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Microscopy Neural Networks, Computer Cell Nucleus Deep Learning
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