AIMC Topic: Microscopy
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Improving DCIS diagnosis and predictive outcome by applying artificial intelligence.
Biochimica et biophysica acta. Reviews on cancer
Apr 29, 2021
Breast ductal carcinoma in situ (DCIS) is a preinvasive lesion that is considered to be a precursor to invasive breast cancer. Nevertheless, not all DCIS will progress to invasion. Current histopathological classification systems are unable to predic...
A through-focus scanning optical microscopy dimensional measurement method based on deep-learning classification model.
Journal of microscopy
Apr 27, 2021
Through-focus scanning optical microscopy (TSOM) is an economical, non-contact and nondestructive method for rapid measurement of three-dimensional nanostructures. There are two methods using TSOM image to measure the dimensions of one sample, includ...
Cheetah: A Computational Toolkit for Cybergenetic Control.
ACS synthetic biology
Apr 27, 2021
Advances in microscopy, microfluidics, and optogenetics enable single-cell monitoring and environmental regulation and offer the means to control cellular phenotypes. The development of such systems is challenging and often results in bespoke setups ...
Building a central repository landmarks a new era for artificial intelligence-assisted digital pathology development in Europe.
European journal of cancer (Oxford, England : 1990)
Apr 21, 2021
Democratising deep learning for microscopy with ZeroCostDL4Mic.
Nature communications
Apr 15, 2021
Deep Learning (DL) methods are powerful analytical tools for microscopy and can outperform conventional image processing pipelines. Despite the enthusiasm and innovations fuelled by DL technology, the need to access powerful and compatible resources ...
Imaging error compensation method for through-focus scanning optical microscopy images based on deep learning.
Journal of microscopy
Apr 14, 2021
Through-focus scanning optical microscopy (TSOM) is a model-based nanoscale metrology technique which combines conventional bright-field microscopy and the relevant numerical simulations. A TSOM image is generated after through-focus scanning and dat...
Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification.
European journal of cancer (Oxford, England : 1990)
Apr 7, 2021
BACKGROUND: Clinicians and pathologists traditionally use patient data in addition to clinical examination to support their diagnoses.
A Cascade of 2.5D CNN and Bidirectional CLSTM Network for Mitotic Cell Detection in 4D Microscopy Image.
IEEE/ACM transactions on computational biology and bioinformatics
Apr 6, 2021
Mitosis detection is one of the challenging steps in biomedical imaging research, which can be used to observe the cell behavior. Most of the already existing methods that are applied in detecting mitosis usually contain many nonmitotic events (norma...
High-throughput label-free detection of DNA-to-RNA transcription inhibition using brightfield microscopy and deep neural networks.
Computers in biology and medicine
Apr 4, 2021
Drug discovery is in constant evolution and major advances have led to the development of in vitro high-throughput technologies, facilitating the rapid assessment of cellular phenotypes. One such phenotype is immunogenic cell death, which occurs part...
Deep convolutional neural network: a novel approach for the detection of Aspergillus fungi via stereomicroscopy.
Journal of microbiology (Seoul, Korea)
Mar 29, 2021
Fungi of the genus Aspergillus are ubiquitously distributed in nature, and some cause invasive aspergillosis (IA) infections in immunosuppressed individuals and contamination in agricultural products. Because microscopic observation and molecular det...
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