AIMC Topic: Microscopy

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Robotic and Microrobotic Tools for Dental Therapy.

Journal of healthcare engineering Feb 18, 2022
Robotic and microrobotic tools such as dental operating microscopes and dental endoscopes are being used extensively in dental therapy, which have a significant impact on dental therapy and education. Herein, this paper reviews the state of the art o...
Robotic Surgical Procedures Endoscopes Microscopy Humans Robotics
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Automatic Colorectal Cancer Screening Using Deep Learning in Spatial Light Interference Microscopy Data.

Cells Feb 17, 2022
The surgical pathology workflow currently adopted by clinics uses staining to reveal tissue architecture within thin sections. A trained pathologist then conducts a visual examination of these slices and, since the investigation is based on an empiri...
Deep Learning Early Detection of Cancer Microscopy, Interference Microscopy Humans Colorectal Neoplasms
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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...
Smartphone Microscopy Humans Neural Networks, Computer Algorithms Deep Learning
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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...
Light Microscopy Research Design Computer Simulation Neural Networks, Computer
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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...
Humans Artificial Intelligence B-Lymphocytes Microscopy Deep Learning Biopsy
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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...
Brain Microscopy Microglia Cellular Senescence Mice Support Vector Machine Age Factors Mice, Inbred C57BL Aging Animals Image Processing, Computer-Assisted 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 Neural Networks, Computer Reproducibility of Results Drug Compounding Proteins Protein Aggregates Image Processing, Computer-Assisted Microscopy
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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 Algorithms Neural Networks, Computer
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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...
Single-Cell Analysis Image Processing, Computer-Assisted Bacteria Computational Biology Software Deep Learning Microscopy Time-Lapse Imaging
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