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Electron Microscope Tomography and Single-particle Reconstruction01:07

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Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
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Electron carriers can be thought of as electron shuttles. These compounds can easily accept electrons (i.e., be reduced) or lose them (i.e., be oxidized). They play an essential role in energy production because cellular respiration is contingent on the flow of electrons.
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The F distribution was named after Sir Ronald Fisher, an English statistician. The F statistic is a ratio (a fraction) with two sets of degrees of freedom; one for the numerator and one for the denominator. The F distribution is derived from the Student's t distribution. The values of the F distribution are squares of the corresponding values of the t distribution. One-Way ANOVA expands the t test for comparing more than two groups. The scope of that derivation is beyond the level of this...
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Related Experiment Video

Updated: Jan 26, 2026

Micropatterning Transmission Electron Microscopy Grids to Direct Cell Positioning within Whole-Cell Cryo-Electron Tomography Workflows
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ETDB-Caltech: A blockchain-based distributed public database for electron tomography.

Davi R Ortega1, Catherine M Oikonomou1, H Jane Ding1

  • 1Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States of America.

Plos One
|April 16, 2019
PubMed
Summary
This summary is machine-generated.

We developed a novel peer-to-peer, blockchain-based system to share over 11,000 electron tomography datasets. This method addresses challenges in storing and disseminating large 3D microscopy data, making it accessible for research.

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Area of Science:

  • Cellular Biology
  • Microscopy
  • Data Science

Background:

  • Three-dimensional electron microscopy techniques, such as electron tomography, offer critical insights into cellular structures.
  • The large data volumes generated by these techniques pose significant challenges for storage and dissemination.

Purpose of the Study:

  • To explore a novel method for publicly releasing a large collection of electron tomography datasets.
  • To provide a distributed and accessible solution for sharing over 30 TB of 3D microscopy data.

Main Methods:

  • Implementation of a peer-to-peer file sharing network.
  • Utilization of a blockchain ledger for distributed data storage.
  • Development of a user-friendly, browser-based interface (https://etdb.caltech.edu) for data access.

Main Results:

  • Successfully released over 11,000 electron tomography datasets, totaling more than 30 TB.
  • Established a functional distributed system for data storage and dissemination.
  • Provided a platform for researchers to explore and download valuable 3D microscopy data.

Conclusions:

  • The developed system offers a viable solution for managing and sharing large-scale 3D electron microscopy datasets.
  • The approach facilitates broader access to scientific data, promoting further research and collaboration.
  • Tools are provided for data mining and for other groups to adopt similar data sharing strategies.