Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

SNARE Proteins Are Required for Macroautophagy.

Cell·2025

Same author

Performance verification of the "ghost"-free tomographic reconstruction method QURT.

Micron (Oxford, England : 1993)·2025

Same author

Bloch Point Quadrupole Constituting Hybrid Topological Strings Revealed with Electron Holographic Vector Field Tomography.

Advanced materials (Deerfield Beach, Fla.)·2024

Same author

Semiautomatic contour tracking method for biological object segmentation in thin-section electron microscope images with modified zero DC component-type Gabor wavelets.

Microscopy (Oxford, England)·2023

Same author

Three-dimensional electron tomography and recent expansion of its applications in materials science.

Microscopy (Oxford, England)·2022

Same author

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)<sup>1</sup>.

Autophagy·2021

Search research articles

Related Experiment Video

Updated: Apr 30, 2026

Preparation and Observation of Thick Biological Samples by Scanning Transmission Electron Tomography

Preparation and Observation of Thick Biological Samples by Scanning Transmission Electron Tomography

Published on: March 12, 2017

Alternative automatic alignment method for specimen tilt-series images based on back-projected volume data

Sachihiko Tomonaga¹, Misuzu Baba², Norio Baba³

¹Major of Informatics, Graduate School, Kogakuin University, 2665-1 Nakano, Hachioji, Tokyo 192-0015, Japan.

Microscopy (Oxford, England)

|May 13, 2014

Summary

We developed an automatic image alignment method for specimen tilt series using 3-D cross-correlation. This technique accurately aligns tilt series without markers or feature points, proving effective for biological applications.

Keywords:

automatic alignment electron tomography marker-free alignment tilt-axis search volume data cross-correlation volume reconstruction

More Related Videos

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

Published on: July 12, 2022

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography

Published on: January 30, 2016

Related Experiment Videos

Last Updated: Apr 30, 2026

Preparation and Observation of Thick Biological Samples by Scanning Transmission Electron Tomography

Preparation and Observation of Thick Biological Samples by Scanning Transmission Electron Tomography

Published on: March 12, 2017

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

Published on: July 12, 2022

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography

Published on: January 30, 2016

Area of Science:

Electron Microscopy
Image Processing
Structural Biology

Background:

Accurate alignment of specimen tilt series is crucial for high-resolution 3D reconstruction in electron tomography.
Traditional alignment methods often rely on manual intervention, markers, or traceable feature points, which can be time-consuming and error-prone.

Purpose of the Study:

To develop and validate a novel automatic image alignment method for specimen tilt series.
To enable precise tilt-series alignment and tilt-axis determination without the need for fiducial markers or feature tracking.

Main Methods:

The proposed method utilizes volume data cross-correlation of 3D cross-sections reconstructed from projection images.
It operates on different sets of projection images, including single images, for alignment and tilt-axis search.
The approach was validated through simulations and practical application to biological thin sections.

Main Results:

The automatic image alignment method successfully aligned specimen tilt series.
Alignment was centered at the correctly detected tilt axis with high precision.
The method demonstrated practical applicability for biological samples.

Conclusions:

The developed automatic cross-correlation method offers a robust and efficient solution for tilt-series alignment in electron tomography.
It eliminates the requirement for markers or feature points, simplifying the workflow and improving accuracy.
This advancement facilitates high-quality 3D reconstruction of biological specimens.