Illustration generated with AI; not experimental data.

Electrochemical Imaging

This section provides an overview of the microscopy, spectroscopy, tomography, and other imaging techniques commonly used in electrochemical materials research, the typical characteristics of the resulting images — including their temporal dependence, from single snapshots to in-situ/operando time series — and the challenges that motivate the use of machine-learning-based image processing. Pick a topic below.

What Is Electrochemical Imaging?

Micro- and nano-scale structure of electrochemical materials, and why it matters.

Key Imaging Techniques

SEM, TEM, AFM, spectroscopy, tomography, and temporal/operando imaging.

Typical Image Characteristics

Grayscale, dynamic range, noise, artifacts, class imbalance, and temporal dependence.

Why Machine Learning?

Generalization, scalability, reproducibility, and transfer learning.