AIMC Topic: Microscopy

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Cytopathic Effect Detection and Clonal Selection using Deep Learning.

Pharmaceutical research Jul 24, 2024
PURPOSE: In biotechnology, microscopic cell imaging is often used to identify and analyze cell morphology and cell state for a variety of applications. For example, microscopy can be used to detect the presence of cytopathic effects (CPE) in cell cul...
Microscopy Cytopathogenic Effect, Viral Image Processing, Computer-Assisted Cell Line Humans Neural Networks, Computer Animals Deep Learning Algorithms
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Evaluating artificial intelligence-enhanced digital urine cytology for bladder cancer diagnosis.

Cancer cytopathology Jul 14, 2024
BACKGROUND: This study evaluated the diagnostic effectiveness of the AIxURO platform, an artificial intelligence-based tool, to support urine cytology for bladder cancer management, which typically requires experienced cytopathologists and substantia...
Humans Aged Sensitivity and Specificity Male Artificial Intelligence Female Microscopy Carcinoma, Transitional Cell Urine Urinary Bladder Neoplasms Cytodiagnosis
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Reconstructing Cancellous Bone From Down-Sampled Optical-Resolution Photoacoustic Microscopy Images With Deep Learning.

Ultrasound in medicine & biology Jul 7, 2024
OBJECTIVE: Bone diseases deteriorate the microstructure of bone tissue. Optical-resolution photoacoustic microscopy (OR-PAM) enables high spatial resolution of imaging bone tissues. However, the spatiotemporal trade-off limits the application of OR-P...
Cancellous Bone Signal-To-Noise Ratio Photoacoustic Techniques Animals Deep Learning Image Processing, Computer-Assisted Cattle Microscopy
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Deep Learning Enhanced Label-Free Action Potential Detection Using Plasmonic-Based Electrochemical Impedance Microscopy.

Analytical chemistry Jul 2, 2024
Measuring neuronal electrical activity, such as action potential propagation in cells, requires the sensitive detection of the weak electrical signal with high spatial and temporal resolution. None of the existing tools can fulfill this need. Recentl...
Neurons Animals Microscopy Deep Learning Action Potentials Electric Impedance Electrochemical Techniques
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Background removal for debiasing computer-aided cytological diagnosis.

International journal of computer assisted radiology and surgery Jun 25, 2024
To address the background-bias problem in computer-aided cytology caused by microscopic slide deterioration, this article proposes a deep learning approach for cell segmentation and background removal without requiring cell annotation. A U-Net-based ...
Microscopy Humans Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Deep Learning Cytodiagnosis
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An automated in vitro wound healing microscopy image analysis approach utilizing U-net-based deep learning methodology.

BMC medical imaging Jun 25, 2024
BACKGROUND: The assessment of in vitro wound healing images is critical for determining the efficacy of the therapy-of-interest that may influence the wound healing process. Existing methods suffer significant limitations, such as user dependency, ti...
Humans Microscopy Image Processing, Computer-Assisted Neural Networks, Computer Wound Healing Deep Learning
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Cross-Modal Graph Contrastive Learning with Cellular Images.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jun 21, 2024
Constructing discriminative representations of molecules lies at the core of a number of domains such as drug discovery, chemistry, and medicine. State-of-the-art methods employ graph neural networks and self-supervised learning (SSL) to learn unlabe...
Microscopy Machine Learning Algorithms Image Processing, Computer-Assisted Humans Neural Networks, Computer
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DeepLeish: a deep learning based support system for the detection of Leishmaniasis parasite from Giemsa-stained microscope images.

BMC medical imaging Jun 18, 2024
BACKGROUND: Leishmaniasis is a vector-born neglected parasitic disease belonging to the genus Leishmania. Out of the 30 Leishmania species, 21 species cause human infection that affect the skin and the internal organs. Around, 700,000 to 1,000,000 of...
Humans Deep Learning Leishmaniasis Microscopy Azure Stains Leishmania
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Performance Evaluation of a Novel Artificial Intelligence-Assisted Digital Microscopy System for the Routine Analysis of Bone Marrow Aspirates.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Jun 17, 2024
Bone marrow aspiration (BMA) smear analysis is essential for diagnosis, treatment, and monitoring of a variety of benign and neoplastic hematological conditions. Currently, this analysis is performed by manual microscopy. We conducted a multicenter s...
Microscopy Image Interpretation, Computer-Assisted Bone Marrow Examination Reproducibility of Results Bone Marrow Humans Artificial Intelligence
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A versatile automated pipeline for quantifying virus infectivity by label-free light microscopy and artificial intelligence.

Nature communications Jun 15, 2024
Virus infectivity is traditionally determined by endpoint titration in cell cultures, and requires complex processing steps and human annotation. Here we developed an artificial intelligence (AI)-powered automated framework for ready detection of vir...
Cytopathogenic Effect, Viral Vaccinia virus Rhinovirus Chlorocebus aethiops Vero Cells SARS-CoV-2 Animals Neural Networks, Computer Humans Saliva Artificial Intelligence Cell Line Microscopy COVID-19
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