Article

AutoDetect-mNP: An Unsupervised Machine Learning Algorithm for Automated Analysis of Transmission Electron Microscope Images of Metal Nanoparticles

2021-01-28

Abstract excerpt

The synthesis quality of artificial inorganic nanocrystals is most often assessed by transmission electron microscopy (TEM) for which new high-throughput advances have dramatically increased both the quantity and information richness of metal nanoparticle (mNP) characterization. Existing automated data analysis algorithms of TEM mNP images generally adopt a supervised approach, requiring a significant effort in hu...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: de47b371-3911-5a12-a205-c1a634f4f63b
DOI: 10.26434/chemrxiv.12986075.v2

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

AutoDetect-mNP: An Unsupervised Machine Learning Algorithm for Automated Analysis of Transmission Electron Microscope Images of Metal NanoparticlesDOI 10.26434/chemrxiv.12986075.v2Read

A Lightweight, Low-Label Framework Towards Autonomous Morphology-Resolved SEM–EDS Analysis in Material MicroscopySemantic proximity Read

A ResNet50 Transfer Learning and Grad-CAM-Based Framework for Explainable TEM Nanoparticle ClassificationSemantic proximity Read

Explainable Deep Learning for TEM-Based Classification of Carbon Nanoparticles: A ResNet50 Transfer Learning ApproachSemantic proximity Read

Artificial intelligence-enabled automated analysis of transmission electron micrographs to evaluate chemotherapy impact on mitochondrial morphology in triple negative breast cancerSemantic proximity Read

NANO.PTML Model for read-across prediction of nanosystems in neurosciences. Computational model and experimental case of studySemantic proximity Read

Supervised machine learning versus expert assessment of ultrastructural changes in wild-type and OGT knockout macrophagesSemantic proximity Read

Numerical Generation and Machine Learning Classification of Extinction Spectra for Gold Nanoparticles and NanorodsSemantic proximity Read

DeepCryoPicker: Fully Automated Deep Neural Network for Single Protein Particle Picking in cryo-EMSemantic proximity Read

MeXpose - A modular imaging pipeline for the quantitative assessment of cellular metal bioaccumulationSemantic proximity Read

SimuScan: Label-Free Deep Learning for Autonomous AFMSemantic proximity Read

A Two-Stage Deep Learning Framework for Automated Corrosion Detection and Severity Estimation in High-Resolution SEM ImagesSemantic proximity Read

Predicting the Synthesizability of Crystalline Inorganic Materials from the Data of Known Material CompositionsSemantic proximity Read