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Electron Cryotomography of Bacterial Cells

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Published on: May 6, 2010

Efficient manual annotation of cryogenic electron tomograms using IMOD.

Cristina Danita¹, Wah Chiu^1,2,3, Jesús G Galaz-Montoya¹

¹Department of Bioengineering, James H. Clark Center, Stanford University, Stanford, CA 94305, USA.

|September 13, 2022

Summary

This study introduces a manual annotation protocol using IMOD software for segmenting features in cryogenic electron tomograms. This method enhances visualization and quantification for structural analyses of cellular tomograms.

Keywords:

Cell biology Cell membrane Cryo-EM Evolutionary biology Structural biology

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Strategies for Optimization of Cryogenic Electron Tomography Data Acquisition

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Published on: March 19, 2021

Area of Science:

Structural biology
Cell biology
Biophysics

Background:

Cryo-electron tomography (cryo-ET) generates 3D reconstructions of cellular structures.
Accurate segmentation of cellular features is crucial for quantitative analysis in cryo-ET.
Manual annotation is often required but can be time-consuming.

Purpose of the Study:

To present a manual annotation protocol for segmenting common cellular features in cryo-electron tomograms using IMOD software.
To demonstrate the application of this protocol for analyzing membranes, large globules, and filaments.
To highlight the efficiency gains offered by IMOD's interpolation function.

Main Methods:

Development of a manual annotation protocol utilizing the open-source software IMOD.
Segmentation of specific cellular components including membranes, large globules, and filaments.
Application of IMOD's interpolation function to accelerate the manual annotation process.

Main Results:

Successful segmentation of membranes, large globules, and filaments in cellular tomograms.
Demonstration of improved visualization and quantification of segmented features.
Significant acceleration of manual annotation speed, up to an order of magnitude, through IMOD's interpolation.

Conclusions:

The presented manual annotation protocol provides an effective method for feature segmentation in cryo-ET.
This approach facilitates detailed phenotypic structural analyses of cellular tomograms.
IMOD software, particularly its interpolation function, offers a valuable tool for efficient cryo-ET data processing.