AIMC Topic: Microscopy

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Speeding up reconstruction of 3D tomograms in holographic flow cytometry deep learning.

Lab on a chip Feb 15, 2022
Tomographic flow cytometry by digital holography is an emerging imaging modality capable of collecting multiple views of moving and rotating cells with the aim of recovering their refractive index distribution in 3D. Although this modality allows us ...
Neural Networks, Computer Flow Cytometry Microscopy Holography Deep Learning Image Processing, Computer-Assisted
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Examination of blood samples using deep learning and mobile microscopy.

BMC bioinformatics Feb 11, 2022
BACKGROUND: Microscopic examination of human blood samples is an excellent opportunity to assess general health status and diagnose diseases. Conventional blood tests are performed in medical laboratories by specialized professionals and are time and...
Algorithms Deep Learning Smartphone Humans Neural Networks, Computer Microscopy
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Deep Multi-Feature Transfer Network for Fourier Ptychographic Microscopy Imaging Reconstruction.

Sensors (Basel, Switzerland) Feb 6, 2022
Fourier ptychographic microscopy (FPM) is a potential imaging technique, which is used to achieve wide field-of-view (FOV), high-resolution and quantitative phase information. The LED array is used to irradiate the samples from different angles to ob...
Neural Networks, Computer Research Design Light Microscopy Computer Simulation
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Artificial intelligence and deep learning to map immune cell types in inflamed human tissue.

Journal of immunological methods Feb 4, 2022
Biopsies of inflammatory tissue contain a complex network of interacting cells, orchestrating the immune or autoimmune response. While standard histological examination can identify relationships, it is clear that a great amount of data on each slide...
Artificial Intelligence Deep Learning Biopsy Humans B-Lymphocytes Microscopy
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Automated characterisation of microglia in ageing mice using image processing and supervised machine learning algorithms.

Scientific reports Feb 2, 2022
The resident macrophages of the central nervous system, microglia, are becoming increasingly implicated as active participants in neuropathology and ageing. Their diverse and changeable morphology is tightly linked with functions they perform, enabli...
Aging Cellular Senescence Image Processing, Computer-Assisted Microscopy Mice, Inbred C57BL Support Vector Machine Brain Mice Animals Microglia Age Factors Male
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Testing Precision Limits of Neural Network-Based Quality Control Metrics in High-Throughput Digital Microscopy.

Pharmaceutical research Jan 26, 2022
OBJECTIVE: Digital microscopy is used to monitor particulates such as protein aggregates within biopharmaceutical products. The images that result encode a wealth of information that is underutilized in pharmaceutical process monitoring. For example,...
High-Throughput Screening Assays Protein Aggregates Image Processing, Computer-Assisted Proteins Neural Networks, Computer Drug Compounding Microscopy Reproducibility of Results
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High-accuracy, direct aberration determination using self-attention-armed deep convolutional neural networks.

Journal of microscopy Jan 25, 2022
Optical microscopes have long been essential for many scientific disciplines. However, the resolution and contrast of such microscopic images are dramatically affected by aberrations. In this study, compacted with adaptive optics, we propose a machin...
Attention Microscopy Machine Learning Neural Networks, Computer Algorithms
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DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics.

PLoS computational biology Jan 18, 2022
Improvements in microscopy software and hardware have dramatically increased the pace of image acquisition, making analysis a major bottleneck in generating quantitative, single-cell data. Although tools for segmenting and tracking bacteria within ti...
Deep Learning Single-Cell Analysis Bacteria Computational Biology Image Processing, Computer-Assisted Software Microscopy Time-Lapse Imaging
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Using deep learning to predict the outcome of live birth from more than 10,000 embryo data.

BMC pregnancy and childbirth Jan 16, 2022
BACKGROUND: Recently, the combination of deep learning and time-lapse imaging provides an objective, standard and scientific solution for embryo selection. However, the reported studies were based on blastocyst formation or clinical pregnancy as the ...
Live Birth Time-Lapse Imaging Single Embryo Transfer Datasets as Topic ROC Curve Endpoint Determination Predictive Value of Tests Humans Microscopy Probability Reproducibility of Results Area Under Curve Deep Learning
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Gender Identification and Classification of Flies Using Machine Learning Techniques.

Computational and mathematical methods in medicine Jan 13, 2022
is an important genetic model organism used extensively in medical and biological studies. About 61% of known human genes have a recognizable match with the genetic code of Drosophila flies, and 50% of fly protein sequences have mammalian analogues....
Machine Learning Image Processing, Computer-Assisted Female Computational Biology Animals Sex Determination Analysis Drosophila melanogaster Support Vector Machine Bayes Theorem Male Microscopy
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