AIMC Topic: Microscopy

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Fisheye transformation enhances deep-learning-based single-cell phenotyping by including cellular microenvironment.

Cell reports methods Nov 21, 2022
Incorporating information about the surroundings can have a significant impact on successfully determining the class of an object. This is of particular interest when determining the phenotypes of cells, for example, in the context of high-throughput...
Cell Culture Techniques Cellular Microenvironment Deep Learning Microscopy Phenotype Animals
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White blood cell detection, classification and analysis using phase imaging with computational specificity (PICS).

Scientific reports Nov 21, 2022
Treatment of blood smears with Wright's stain is one of the most helpful tools in detecting white blood cell abnormalities. However, to diagnose leukocyte disorders, a clinical pathologist must perform a tedious, manual process of locating and identi...
Lymphocytes Microscopy Leukocytes Neural Networks, Computer Monocytes
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Application of machine and deep learning algorithms in optical microscopic detection of Plasmodium: A malaria diagnostic tool for the future.

Photodiagnosis and photodynamic therapy Nov 12, 2022
Machine and deep learning techniques are prevalent in the medical discipline due to their high level of accuracy in disease diagnosis. One such disease is malaria caused by Plasmodium falciparum and transmitted by the female anopheles mosquito. Accor...
Malaria, Falciparum Photochemotherapy Malaria Microscopy Plasmodium Humans Female Animals Deep Learning
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DeepProjection: specific and robust projection of curved 2D tissue sheets from 3D microscopy using deep learning.

Development (Cambridge, England) Nov 11, 2022
The efficient extraction of image data from curved tissue sheets embedded in volumetric imaging data remains a serious and unsolved problem in quantitative studies of embryogenesis. Here, we present DeepProjection (DP), a trainable projection algorit...
Algorithms Deep Learning Microscopy Imaging, Three-Dimensional Artifacts Image Processing, Computer-Assisted
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A Deep-Learning Framework for the Automated Recognition of Molecules in Scanning-Probe-Microscopy Images.

Angewandte Chemie (International ed. in English) Nov 4, 2022
Computer vision as a subcategory of deep learning tackles complex vision tasks by dealing with data of images. Molecular images with exceptionally high resolution have been achieved thanks to the development of techniques like scanning probe microsco...
Humans Microscopy Algorithms Microscopy, Scanning Probe Deep Learning Image Processing, Computer-Assisted
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Microplankton life histories revealed by holographic microscopy and deep learning.

eLife Nov 1, 2022
The marine microbial food web plays a central role in the global carbon cycle. However, our mechanistic understanding of the ocean is biased toward its larger constituents, while rates and biomass fluxes in the microbial food web are mainly inferred ...
Deep Learning Microscopy Animals Zooplankton Oceans and Seas Phytoplankton Seawater
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NeuroConstruct: 3D Reconstruction and Visualization of Neurites in Optical Microscopy Brain Images.

IEEE transactions on visualization and computer graphics Oct 26, 2022
We introduce NeuroConstruct, a novel end-to-end application for the segmentation, registration, and visualization of brain volumes imaged using wide-field microscopy. NeuroConstruct offers a Segmentation Toolbox with various annotation helper functio...
Image Processing, Computer-Assisted Microscopy Neurites Computer Graphics Brain Imaging, Three-Dimensional Neural Networks, Computer
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Label-free intraoperative histology of bone tissue via deep-learning-assisted ultraviolet photoacoustic microscopy.

Nature biomedical engineering Sep 19, 2022
Obtaining frozen sections of bone tissue for intraoperative examination is challenging. To identify the bony edge of resection, orthopaedic oncologists therefore rely on pre-operative X-ray computed tomography or magnetic resonance imaging. However, ...
Tomography, X-Ray Computed Deep Learning Bone and Bones Microscopy Microscopy, Ultraviolet
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Automatic whole blood cell analysis from blood smear using label-free multi-modal imaging with deep neural networks.

Analytica chimica acta Sep 15, 2022
Whole blood cell analysis is widely used in medical applications since its results are indicators for diagnosing a series of diseases. In this work, we report automatic whole blood cell analysis from blood smear using label-free multi-modal imaging w...
Microscopy Neural Networks, Computer Multimodal Imaging Leukocytes
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Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning.

IEEE transactions on medical imaging Aug 31, 2022
Recently, super-resolution ultrasound imaging with ultrasound localization microscopy (ULM) has received much attention. However, ULM relies on low concentrations of microbubbles in the blood vessels, ultimately resulting in long acquisition times. H...
Microscopy Ultrasonography Deep Learning Microbubbles Radio Waves Contrast Media
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