AIMC Topic: Microscopy

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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...
Neural Networks, Computer Multimodal Imaging Leukocytes Microscopy
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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...
Deep Learning Ultrasonography Contrast Media Microscopy Microbubbles Radio Waves
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A framework for falsifiable explanations of machine learning models with an application in computational pathology.

Medical image analysis Aug 24, 2022
In recent years, deep learning has been the key driver of breakthrough developments in computational pathology and other image based approaches that support medical diagnosis and treatment. The underlying neural networks as inherent black boxes lack ...
Humans Neural Networks, Computer Machine Learning Neoplasms Microscopy
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Automatic detection of three cell types in a microscope image based on deep learning.

Journal of biophotonics Aug 22, 2022
With the continuous integration of deep learning and the technique of molecular biology, target detection models must accurately detect the position of each cell in the image and classify it correctly. We present a model for the multi-scale feature f...
Humans Neural Networks, Computer Machine Learning Deep Learning Image Processing, Computer-Assisted Microscopy
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Intelligent nanoscope for rapid nanomaterial identification and classification.

Lab on a chip Aug 9, 2022
Machine learning image recognition and classification of particles and materials is a rapidly expanding field. However, nanomaterial identification and classification are dependent on the image resolution, the image field of view, and the processing ...
Neural Networks, Computer Machine Learning Nanostructures Microscopy
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ContransGAN: Convolutional Neural Network Coupling Global Swin-Transformer Network for High-Resolution Quantitative Phase Imaging with Unpaired Data.

Cells Aug 3, 2022
Optical quantitative phase imaging (QPI) is a frequently used technique to recover biological cells with high contrast in biology and life science for cell detection and analysis. However, the quantitative phase information is difficult to directly o...
Neural Networks, Computer Algorithms Microscopy
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Automatic analysis system for abnormal red blood cells in peripheral blood smears.

Microscopy research and technique Aug 2, 2022
The type and ratio of abnormal red blood cells (RBCs) in blood can be identified through peripheral blood smear test. Accurate classification is important because the accompanying diseases indicated by abnormal RBCs vary. In clinical practice, this t...
Machine Learning Algorithms Support Vector Machine Microscopy Erythrocytes
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BO-ALLCNN: Bayesian-Based Optimized CNN for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Smear Images.

Sensors (Basel, Switzerland) Jul 24, 2022
Acute lymphoblastic leukemia (ALL) is a deadly cancer characterized by aberrant accumulation of immature lymphocytes in the blood or bone marrow. Effective treatment of ALL is strongly associated with the early diagnosis of the disease. Current pract...
Humans Neural Networks, Computer Bayes Theorem Microscopy Precursor Cell Lymphoblastic Leukemia-Lymphoma
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Marker-controlled watershed with deep edge emphasis and optimized H-minima transform for automatic segmentation of densely cultivated 3D cell nuclei.

BMC bioinformatics Jul 21, 2022
BACKGROUND: The segmentation of 3D cell nuclei is essential in many tasks, such as targeted molecular radiotherapies (MRT) for metastatic tumours, toxicity screening, and the observation of proliferating cells. In recent years, one popular method for...
Humans Neural Networks, Computer Algorithms Biomarkers Image Processing, Computer-Assisted Microscopy Cell Nucleus
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Depth Estimation for Integral Imaging Microscopy Using a 3D-2D CNN with a Weighted Median Filter.

Sensors (Basel, Switzerland) Jul 15, 2022
This study proposes a robust depth map framework based on a convolutional neural network (CNN) to calculate disparities using multi-direction epipolar plane images (EPIs). A combination of three-dimensional (3D) and two-dimensional (2D) CNN-based dee...
Neural Networks, Computer Microscopy
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