AIMC Topic: Microscopy

Clear Filters Showing 91 to 100 of 583 articles

DL-EDOF: Novel Multi-Focus Image Data Set and Deep Learning-Based Approach for More Accurate and Specimen-Free Extended Depth of Focus.

Journal of imaging informatics in medicine Mar 25, 2024
Depth of focus (DOF) is defined as the axial range in which the specimen stage moves without losing focus while the imaging apparatus remains stable. It may not be possible to capture an image that includes the entire specimen in focus due to the nar...
Image Processing, Computer-Assisted Microscopy Algorithms Deep Learning Humans
View on PubMed DOI

Dual-channel neural network for instance segmentation of synapse.

Computers in biology and medicine Mar 13, 2024
Detection and segmentation of neural synapses in electron microscopy images are the committed steps for analyzing neural ultrastructure. To date, manual annotation of the structure in synapses has been the primary method, which is time-consuming and ...
Synapses Automation Microscopy Neural Networks, Computer Image Processing, Computer-Assisted
View on PubMed DOI

Features in Backgrounds of Microscopy Images Introduce Biases in Machine Learning Analyses.

Journal of pharmaceutical sciences Mar 12, 2024
Subvisible particles may be encountered throughout the processing of therapeutic protein formulations. Flow imaging microscopy (FIM) and backgrounded membrane imaging (BMI) are techniques commonly used to record digital images of these particles, whi...
Algorithms Bias Neural Networks, Computer Machine Learning Microscopy
View on PubMed DOI

Enhancing parasitic organism detection in microscopy images through deep learning and fine-tuned optimizer.

Scientific reports Mar 8, 2024
Parasitic organisms pose a major global health threat, mainly in regions that lack advanced medical facilities. Early and accurate detection of parasitic organisms is vital to saving lives. Deep learning models have uplifted the medical sector by pro...
Toxoplasma Microscopy Parasites Babesia Animals Deep Learning
View on PubMed DOI

Automatic classification of acute lymphoblastic leukemia cells and lymphocyte subtypes based on a novel convolutional neural network.

Microscopy research and technique Mar 6, 2024
Acute lymphoblastic leukemia (ALL) is a life-threatening disease that commonly affects children and is classified into three subtypes: L1, L2, and L3. Traditionally, ALL is diagnosed through morphological analysis, involving the examination of blood ...
Neural Networks, Computer Algorithms Humans Microscopy Precursor Cell Lymphoblastic Leukemia-Lymphoma Image Processing, Computer-Assisted Lymphocytes
View on PubMed DOI

Recent advances in label-free imaging and quantification techniques for the study of lipid droplets in cells.

Current opinion in cell biology Feb 29, 2024
Lipid droplets (LDs), once considered mere storage depots for lipids, have gained recognition for their intricate roles in cellular processes, including metabolism, membrane trafficking, and disease states like obesity and cancer. This review explore...
Microscopy Artificial Intelligence Lipid Droplets Lipid Metabolism
View on PubMed DOI

A deep learning dataset for sample preparation artefacts detection in multispectral high-content microscopy.

Scientific data Feb 23, 2024
High-content image-based screening is widely used in Drug Discovery and Systems Biology. However, sample preparation artefacts may significantly deteriorate the quality of image-based screening assays. While detection and circumvention of such artefa...
Artifacts Microscopy Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
View on PubMed DOI

Validation of artificial intelligence-based digital microscopy for automated detection of Schistosoma haematobium eggs in urine in Gabon.

PLoS neglected tropical diseases Feb 23, 2024
INTRODUCTION: Schistosomiasis is a significant public health concern, especially in Sub-Saharan Africa. Conventional microscopy is the standard diagnostic method in resource-limited settings, but with limitations, such as the need for expert microsco...
Artificial Intelligence Retrospective Studies Sensitivity and Specificity Microscopy Humans Schistosoma haematobium Schistosomiasis haematobia Gabon
View on PubMed DOI

Efficient leukocytes detection and classification in microscopic blood images using convolutional neural network coupled with a dual attention network.

Computers in biology and medicine Feb 13, 2024
Leukocytes, also called White Blood Cells (WBCs) or leucocytes, are the cells that play a pivotal role in human health and are vital indicators of diseases such as malaria, leukemia, AIDS, and other viral infections. WBCs detection and classification...
Image Processing, Computer-Assisted Leukocytes Neural Networks, Computer Microscopy Humans Deep Learning
View on PubMed DOI

ChatGPT's innovative application in blood morphology recognition.

Journal of the Chinese Medical Association : JCMA Feb 13, 2024
BACKGROUND: Recently, the rapid advancement in generative artificial intelligence (AI) technology, such as ChatGPT-4, has sparked discussions, particularly in image recognition. Accurate results are critical for hematological diagnosis, particularly ...
Humans Artificial Intelligence Retrospective Studies Microscopy
View on PubMed DOI
Popular Topics
Recent Journals