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Updated: May 10, 2026

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy (iPALM)

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy (iPALM)

Published on: December 1, 2016

Autoindexing diffraction images with iMosflm.

Harold R Powell¹, Owen Johnson, Andrew G W Leslie

¹MRC Laboratory of Molecular Biology, Hills Road, Cambridge CB2 0QH, England.

Acta Crystallographica. Section D, Biological Crystallography

|June 25, 2013

Summary

This summary is machine-generated.

This study presents an autoindexing algorithm for diffraction images using fast Fourier transforms. The method, implemented in Mosflm/iMosflm, successfully indexes images with multiple lattices, even in complex real-world scenarios.

Keywords:

Mosflm autoindexing data processing multiple lattices

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Area of Science:

Crystallography
Image Processing
Computational Science

Background:

Accurate crystal structure determination relies on precise diffraction image analysis.
Autoindexing algorithms are crucial for processing large crystallographic datasets.
Existing methods may face challenges with complex diffraction patterns.

Purpose of the Study:

To present an overview of an autoindexing diffraction image algorithm.
To describe its implementation within the Mosflm/iMosflm program suite.
To address practical challenges and evaluation methods for autoindexing.

Main Methods:

Utilizes one-dimensional fast Fourier transforms for autoindexing.
Details the implementation within the Mosflm/iMosflm software.
Incorporates recent developments for handling multiple lattices.

Main Results:

Demonstrates the successful implementation and practical application of the autoindexing algorithm.
Shows the algorithm's capability to index images with multiple diffraction lattices.
Provides examples validating the approach on real crystallographic data.

Conclusions:

The presented autoindexing method is effective for diffraction image analysis.
The Mosflm/iMosflm implementation offers a robust solution for indexing challenges.
The algorithm's ability to handle multiple lattices enhances its utility in structural biology.