Cryo-electron tomography · interactive encyclopedia

Cryo-ET, made clear

An interactive encyclopedia of cryo-electron tomography (Cryo-ET). Nine knowledge bases — from cryo-imaging and our own reconstruction methods to the signal processing and statistical machine learning behind them.

Enter the knowledge base Our reconstruction

9 knowledge bases 30+ demos & diagrams zh · en bilingual

The missing wedge in Fourier space — the gap left by limited tilt

sampled missing wedge

Nine knowledge bases

Ordered by prerequisite, from imaging to the math behind reconstruction; stuck? read its prereqs first.

Tomography

From cryo-EM to the 3-D volume

Software

The pipeline: process, align, visualize

Reconstruction

Our reconstruction — algorithms & results

Analysis

Volume to structure and meaning

Signal

The math behind imaging

Probability

The language of inference

Inference

Approximate, then sample, a posterior

Transport

Geometry between distributions

Distribution Matching

Adversarial, transport, energy

Two reading paths

Intuition layer

Figures and animations that explain why each problem is hard — no math required.

Depth layer

For method developers: derivations, equations, runnable code and pseudocode.

Where to start

New to ML (know biology) → start with probability New to cryo (know ML) → start with tomography