An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics

Design of a graphical user interface for few-shot machine learning classification of electron microscopy data

(2022) Christina Doty et al.   COMPUTATIONAL MATERIALS SCIENCE

Possibility of an integrated transmission electron microscope: enabling complex in-situ experiments

(2021) Khalid Hattar et al.   Journal of Materials Science

Bayesian reaction optimization as a tool for chemical synthesis

(2021) Benjamin J. Shields et al.   NATURE

Efficient few-shot machine learning for classification of EBSD patterns

(2021) Kevin Kaufmann et al.   Scientific Reports

Automated and Autonomous Experiments in Electron and Scanning Probe Microscopy

(2021) Sergei V. Kalinin et al.   ACS Nano

Automating Electron Microscopy through Machine Learning and USETEM

(2021) Michael Xu et al.   MICROSCOPY AND MICROANALYSIS

Atomic-Level Structural Engineering of Graphene on a Mesoscopic Scale

(2021) Alberto Trentino et al.   NANO LETTERS

Rapid and flexible segmentation of electron microscopy data using few-shot machine learning

(2021) Sarah Akers et al.   npj Computational Materials

SciPy 1.0: fundamental algorithms for scientific computing in Python

(2020) Pauli Virtanen et al.   NATURE METHODS

Towards data-driven next-generation transmission electron microscopy

(2020) Steven R. Spurgeon et al.   NATURE MATERIALS

A petascale automated imaging pipeline for mapping neuronal circuits with high-throughput transmission electron microscopy

(2020) Wenjing Yin et al.   Nature Communications

Chemical Robotics Enabled Exploration of Stability in Multicomponent Lead Halide Perovskites via Machine Learning

(2020) Kate Higgins et al.   ACS Energy Letters

Software tools for automated transmission electron microscopy

(2019) Martin Schorb et al.   NATURE METHODS

AutoEM: a software for automated acquisition and analysis of nanoparticles

(2019) Toni Uusimaeki et al.   JOURNAL OF NANOPARTICLE RESEARCH

Materials science in the artificial intelligence age: high-throughput library generation, machine learning, and a pathway from correlations to the underpinning physics

(2019) Rama K. Vasudevan et al.   MRS Communications

Nion Swift: Open Source Image Processing Software for Instrument Control, Data Acquisition, Organization, Visualization, and Analysis Using Python.

(2019) Chris Meyer et al.   MICROSCOPY AND MICROANALYSIS

Crystallographic prediction from diffraction and chemistry data for higher throughput classification using machine learning

(2019) Jeffery A. Aguiar et al.   COMPUTATIONAL MATERIALS SCIENCE

A data ecosystem to support machine learning in materials science

(2019) Ben Blaiszik et al.   MRS Communications

Machine Learning in Nanoscience: Big Data at Small Scales

(2019) Keith A. Brown et al.   NANO LETTERS

The 2017 Nobel Prize in Chemistry: cryo-EM comes of age

(2018) Peter S. Shen   ANALYTICAL AND BIOANALYTICAL CHEMISTRY

Haves and have nots must find a better way: The case for open scientific hardware

(2018) Andre Maia Chagas   PLOS BIOLOGY

Advances in the field of single-particle cryo-electron microscopy over the last decade

(2017) Joachim Frank   Nature Protocols

High-throughput, semi-automated quantitative STEM mass measurement of supported metal nanoparticles using a conventional TEM/STEM

(2017) Stephen D. House et al.   ULTRAMICROSCOPY

Low Data Drug Discovery with One-Shot Learning

(2017) Han Altae-Tran et al.   ACS Central Science

The Materials Data Facility: Data Services to Advance Materials Science Research

(2016) B. Blaiszik et al.   JOM

The development of cryo-EM into a mainstream structural biology technique

(2016) Eva Nogales   NATURE METHODS

Current status and future directions for in situ transmission electron microscopy

(2016) Mitra L. Taheri et al.   ULTRAMICROSCOPY

Materials Data Science: Current Status and Future Outlook

(2015) Surya R. Kalidindi et al.   Annual Review of Materials Research

Big–deep–smart data in imaging for guiding materials design

(2015) Sergei V. Kalinin et al.   NATURE MATERIALS

Automated crystal orientation and phase mapping in TEM

(2014) E.F. Rauch et al.   MATERIALS CHARACTERIZATION

The high-throughput highway to computational materials design

(2013) Stefano Curtarolo et al.   NATURE MATERIALS

Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

(2013) Anubhav Jain et al.   APL Materials

Fiji: an open-source platform for biological-image analysis

(2012) Johannes Schindelin et al.   NATURE METHODS

NIH Image to ImageJ: 25 years of image analysis

(2012) Caroline A Schneider et al.   NATURE METHODS

Antimicrobial activity of transition metal acid MoO3 prevents microbial growth on material surfaces

(2011) Cordt Zollfrank et al.   Materials Science & Engineering C-Materials for Biological Applications

More Is Less: Signal Processing and the Data Deluge

(2011) R. G. Baraniuk   SCIENCE

Introducing measure-by-wire, the systematic use of systems and control theory in transmission electron microscopy

(2011) Arturo Tejada et al.   ULTRAMICROSCOPY

Automated screening of 2D crystallization trials using transmission electron microscopy: A high-throughput tool-chain for sample preparation and microscopic analysis

(2010) Nicolas Coudray et al.   JOURNAL OF STRUCTURAL BIOLOGY