bioRxivBiophysics
TopoStats - a program for automated tracing of biomolecules from AFM images
J. G. Beton, R. Moorehead, L. Helfmann, R. Gray, B. Hoogenboom, A. P. Joseph, M. Topf, A. L. B. Pyne
Abstract
We present TopoStats, a Python toolkit for automated editing and analysis of Atomic Force Microscopy images. The program automates identification and tracing of individual molecules in circular and linear conformations without user input. TopoStats was able to identify and trace a range of molecules within AFM images, finding, on average, 90% of all individual molecules and molecular assemblies within a wide field of view, and without the need for prior processing. DNA minicircles of varying size, DNA origami rings and pore forming proteins were identified and accurately traced with contour lengths of traces typically within 10 nm of the predicted contour length. TopoStats was also able to reliably identify and trace linear and enclosed circular molecules within a mixed population. The program is freely available via GitHub (https://github.com/afm-spm/TopoStats) and is intended to be modified and adapted for use if required.
- assay: imaging
- assay: fluorescence / live-cell microscopy
- research focus: cell type annotation
- research focus: clustering
- research focus: dimensionality reduction
- approach: experimental assay
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Deep Learning-Enhanced TopoStats for the Automated Quantification of DNA and Complex Biomolecular Structures
Sylvia Whittle, Tobias A Firth, … Alice L. B. Pyne·Computational and Structural Biotechnology JournalPeer-reviewed·Mar 1, 2026
- Atomic reconstruction of biomolecular structures from AFM images and quantitative validation of experimental data using simulated AFM scanning
R. Amyot, A. Marchesi, … H. Flechsig·bioRxiv·Jun 27, 2021
- Rigid-Body Fitting to Atomic Force Microscopy Images for Inferring Probe Shape and Biomolecular Structure
T. Niina, Y. Matsunaga, S. Takada·bioRxiv·Feb 21, 2021
- Simulation atomic force microscopy to predict correlated conformational dynamics in proteins from topographic imaging
H. Flechsig·bioRxiv·Oct 15, 2021
- Trace_y: Software algorithms for structural analysis of individual helical filaments by three-dimensional contact point reconstruction atomic force microscopy
W.-F. Xue·bioRxiv·Jul 5, 2023
- End-to-End Differentiable Blind Tip Reconstruction for Noisy Atomic Force Microscopy Images
Y. Matsunaga, S. Fuchigami, … S. Takada·bioRxiv·Sep 24, 2022