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Electron Microscope Tomography and Single-particle Reconstruction

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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.
Electron Tomography
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Related Experiment Video

Updated: Sep 6, 2025

A Protocol for Real-time 3D Single Particle Tracking

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

Real-Time Feedback-Driven Single-Particle Tracking: A Survey and Perspective.

Bertus van Heerden^1,2, Nicholas A Vickers³, Tjaart P J Krüger^1,2

¹Department of Physics, University of Pretoria, Pretoria, 0002, South Africa.

Small (Weinheim an Der Bergstrasse, Germany)

|June 27, 2022

Summary

This summary is machine-generated.

Real-time feedback-driven single-particle tracking (RT-FD-SPT) enhances particle dynamics studies with high spatiotemporal resolution. This review details RT-FD-SPT methods, components, and applications, guiding future research.

Keywords:

active feedback tracking single molecule spectroscopy single-particle tracking

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Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

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Published on: February 27, 2016

Area of Science:

Physics
Chemistry
Biophysics

Background:

Single-particle tracking (SPT) techniques are crucial for observing molecular dynamics.
Existing SPT methods often face limitations in spatiotemporal resolution and concurrent measurements.
Real-time feedback-driven single-particle tracking (RT-FD-SPT) offers a solution by actively controlling particle position.

Purpose of the Study:

To provide a comprehensive review of RT-FD-SPT techniques.
To systematically analyze the core components and trade-offs in RT-FD-SPT algorithm design.
To guide experimentalists in selecting and developing RT-FD-SPT methods.

Main Methods:

Survey of existing RT-FD-SPT techniques and their applications.
Systematic discussion of feedback control, estimation algorithms (online/offline), and calibration methods.
Introduction of metrics for evaluating and comparing RT-FD-SPT performance.

Main Results:

Detailed comparison of different feedback control strategies (PID, nonlinear).
Analysis of various particle localization estimation algorithms.
Identification of strengths, weaknesses, and trade-offs for diverse RT-FD-SPT approaches.

Conclusions:

RT-FD-SPT enables high-resolution studies of particle dynamics and simultaneous spectroscopic measurements.
Understanding core components and metrics is vital for method selection and development.
The field presents opportunities for further advancements in RT-FD-SPT techniques.