ArticleeLife2020
Intelligent classification of platelet aggregates by agonist type.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Systematic review and meta-analysis of cryopreserved bovine sperm assessment: harnessing imaging flow cytometry for multi-parametric analysis.Frontiers in veterinary science · 2024Pooled it
- Deep learning applications in visual data for benign and malignant hematologic conditions: a systematic review and visual glossary.Haematologica · 2023Pooled it
- A Boolean Seven-Layer Platelet Decision Model Models Consistently the Logic and Semiquantitatively the Dynamics of Platelet Activation and Inhibition.Computational and structural biotechnology journal · 2026Article
- Single-pixel imaging flow cytometry for biomedical research.Inflammation and regeneration · 2025Review
- A Pump-Free, Hydraulic-Amplification Oscillatory Microfluidic Device for Continuous Particle and Cell Manipulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- High-speed fluorescence lifetime imaging microscopy: techniques, applications, and prospects.Biophotonics discovery · 2025Review
- Platelets Image Classification Through Data Augmentation: A Comparative Study of Traditional Imaging Augmentation and GAN-Based Synthetic Data Generation Techniques Using CNNs.Journal of imaging · 2025Article
- Machine learning in point-of-care testing: innovations, challenges, and opportunities.Nature communications · 2025Review
- Imaging flow cytometry with a real-time throughput beyond 1,000,000 events per second.Light, science & applications · 2025Article
- Imaging flow cytometry as a novel approach for the diagnosis of heparin-induced thrombocytopenia.British journal of haematology · 2025Article
- Genetic factors, risk prediction and AI application of thrombotic diseases.Experimental hematology & oncology · 2024Review
- Information-Distilled Generative Label-Free Morphological Profiling Encodes Cellular Heterogeneity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Multiparameter phenotyping of platelets and characterization of the effects of agonists using machine learning.Research and practice in thrombosis and haemostasis · 2024Article
- Advances in Platelet-Dysfunction Diagnostic Technologies.Biomolecules · 2024Review
- Sodium bicarbonate as a local adjunctive agent for limiting platelet activation, aggregation, and adhesion within cardiovascular therapeutic devices.Journal of thrombosis and thrombolysis · 2023Article
- Real-time intelligent classification of COVID-19 and thrombosis via massive image-based analysis of platelet aggregates.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2023Article
- Microsystem Advances through Integration with Artificial Intelligence.Micromachines · 2023Review
- P2Y12 Inhibition Suppresses Proinflammatory Platelet-Monocyte Interactions.Thrombosis and haemostasis · 2023Article
- Long-term effects of Pfizer-BioNTech COVID-19 vaccinations on platelets.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2023Article
- Merging microfluidics with luminescence immunoassays for urgent point-of-care diagnostics of COVID-19.Trends in analytical chemistry : TRAC · 2022Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Platelets are anucleate cells in blood whose principal function is to stop bleeding by forming aggregates for hemostatic reactions. In addition to their participation in physiological hemostasis, platelet aggregates are also involved in pathological thrombosis and play an important role in inflammation, atherosclerosis, and cancer metastasis. The aggregation of platelets is elicited by various agonists, but these platelet aggregates have long been considered indistinguishable and impossible to classify. Here we present an intelligent method for classifying them by agonist type. It is based on a convolutional neural network trained by high-throughput imaging flow cytometry of blood cells to identify and differentiate subtle yet appreciable morphological features of platelet aggregates activated by different types of agonists. The method is a powerful tool for studying the underlying mechanism of platelet aggregation and is expected to open a window on an entirely new class of clinical diagnostics, pharmacometrics, and therapeutics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.