The DOI matches its Crossref record.
NanoJ: a high-performance open-source super-resolution microscopy toolbox
Open accessAbstract
Super-resolution microscopy (SRM) has become essential for the study of nanoscale biological processes. This type of imaging often requires the use of specialised image analysis tools to process a large volume of recorded data and extract quantitative information. In recent years, our team has built an open-source image analysis framework for SRM designed to combine high performance and ease of use. We named it NanoJ-a reference to the popular ImageJ software it was developed for. In this paper, we highlight the current capabilities of NanoJ for several essential processing steps: spatio-temporal alignment of raw data (NanoJ-Core), super-resolution image reconstruction (NanoJ-SRRF), image quality assessment (NanoJ-SQUIRREL), structural modelling (NanoJ-VirusMapper) and control of the sample environment (NanoJ-Fluidics). We expect to expand NanoJ in the future through the development of new tools designed to improve quantitative data analysis and measure the reliability of fluorescent microscopy studies.
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
Cited by
Can DyeCycling break the photobleaching limit in single-molecule FRET?
Vermeer, B., & Schmid, S. (2022) · Nano Research · doi:10.1007/s12274-022-4420-5 · Cited by 25
MAP9/MAPH-9 supports axonemal microtubule doublets and modulates motor movement
Tran, M. V., Khuntsariya, D., Fetter, R. D., Ferguson, J. W., Wang, J. T., Long, A. F., Cote, L. E., Wellard, S. R., Vázquez-Martínez, N., Sallee, M. D., et al. (2024) · Developmental Cell · doi:10.1016/j.devcel.2023.12.001 · Cited by 18
Metadata
- Authors
- Laine, R. F., Tosheva, K. L., Gustafsson, N., Gray, R. D. M., Almada, P., Albrecht, D., Risa, G. T., Hurtig, F., Lindås, A.-C., Baum, B., Mercer, J., Leterrier, C., Pereira, P. M., Culley, S., & Henriques, R.
- Venue
- Journal of Physics D: Applied Physics
- Publisher
- IOP Publishing
- Published
- 2019-02-18
- Volume
- 52
- Issue
- 16
- Pages
- 163001
- ISSN
- 0022-3727 (ISSN-L)
- 1361-6463
- OpenAlex
- W2951719549
- Cited by
- 188
- References
- 0
- FWCI
- 8.91
- 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: NanoJ: a high-performance open-source super-resolution microscopy toolbox. https://app.cochat.ai/papers/10.1088/1361-6463/ab0261
- The paper
- Laine, R. F., Tosheva, K. L., Gustafsson, N., Gray, R. D. M., Almada, P., Albrecht, D., Risa, G. T., Hurtig, F., Lindås, A.-C., Baum, B., Mercer, J., Leterrier, C., Pereira, P. M., Culley, S., & Henriques, R. (2019). NanoJ: a high-performance open-source super-resolution microscopy toolbox. Journal of Physics D: Applied Physics. https://doi.org/10.1088/1361-6463/ab0261
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.