The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
FiberApp: An Open-Source Software for Tracking and Analyzing Polymers, Filaments, Biomacromolecules, and Fibrous Objects
Open accessAbstract
Abstract Biological semiflexible polymers and filaments such as collagen, fibronectin, actin, microtubules, coiled-coil proteins, DNA, siRNA, amyloid fibrils, etc., are ubiquitous in nature. In biology, these systems have a direct relation to critical processes ranging from the movement of actin or assembly of viruses at cellular interfaces to the growth of amyloid plaques in neurodegenerative diseases. In technology and applied sciences, synthetic macromolecules or fibrous objects such as carbon nanotubes are involved in countless applications. Accessing their intrinsic properties at the single molecule level, such as their molecular conformations or intrinsic stiffness, is central to the understanding of these systems, their properties, and the design of related applications. In this Perspective we introduce FiberApp─a new tracking and analysis software based on a cascade of algorithms describing structural and topological features of objects characterized by a very high length-to-width aspect ratio, generally described as “fiber-like objects”. The program operates on images from any microscopic source (atomic force or transmission electron microscopy, optical, fluorescence, confocal, etc.), acquiring the spatial coordinates of objects by a semiautomated tracking procedure based on A* pathfinding algorithm followed by the application of active contour models and generating virtually any statistical, topological, and graphical output derivable from these coordinates. Demonstrative features of the software include statistical polymer physics analysis of fiber conformations, height, bond and pair correlation functions, mean-squared end-to-end distance and midpoint displacement, 2D order parameter, excess kurtosis, fractal exponent, height profile and its discrete Fourier transform, orientation, length, height, curvature, and kink angle distributions, providing an unprecedented structural description of filamentous synthetic and biological objects.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Formal Basis for the Heuristic Determination of Minimum Cost Paths
Hart, P., Nilsson, N., & Raphael, B. (1968) · IEEE Transactions on Systems Science and Cybernetics · doi:10.1109/tssc.1968.300136 · Cited by 12,738
Protein folding and misfolding
Dobson, C. M. (2003) · Nature · doi:10.1038/nature02261 · Cited by 4,791
Peng, H., Ruan, Z., Long, F., Simpson, J. H., & Myers, E. W. (2010) · Nature Biotechnology · doi:10.1038/nbt.1612 · Cited by 707
Microscopic analysis of polymerization dynamics with individual actin filaments
Fujiwara, I., Takahashi, S., Tadakuma, H., Funatsu, T., & Ishiwata, S. (2002) · Nature Cell Biology · doi:10.1038/ncb841 · Cited by 420
Cited by
Production and characterization of amaranth amyloid fibrils from food protein waste
Mykolenko, S., Soon, W. L., & Mezzenga, R. (2024) · Food Hydrocolloids · doi:10.1016/j.foodhyd.2023.109604 · Cited by 60
Self-citationChiral and nematic phases of flexible active filaments
Dunajova, Z., Mateu, B. P., Radler, P., Lim, K., Brandis, D., Velicky, P., Danzl, J. G., Wong, R. W., Elgeti, J., Hannezo, E., et al. (2023) · Nature Physics · doi:10.1038/s41567-023-02218-w · Cited by 23
Chiral and nematic phases of flexible active filaments
Dunajova, Z., Mateu, B. P., Radler, P., Lim, K., Velicky, P., Danzl, J. G., Wong, R. W., Elgeti, J., Hannezo, E., & Loose, M. (2022) · doi:10.1101/2022.12.15.520425 · Cited by 2
Metadata
- Authors
- Usov, I., & Mezzenga, R.
- Venue
- Macromolecules
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-02-10
- Volume
- 48
- Issue
- 5
- Pages
- 1269-1280
- ISSN
- 0024-9297 (ISSN-L)
- 1520-5835
- OpenAlex
- W2332299887
- Cited by
- 333
- References
- 4
- FWCI
- 15.09
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: FiberApp: An Open-Source Software for Tracking and Analyzing Polymers, Filaments, Biomacromolecules, and Fibrous Objects. https://app.cochat.ai/papers/10.1021/ma502264c
- The paper
- Usov, I., & Mezzenga, R. (2015). FiberApp: An Open-Source Software for Tracking and Analyzing Polymers, Filaments, Biomacromolecules, and Fibrous Objects. Macromolecules. https://doi.org/10.1021/ma502264c
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.