The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Antibiotic susceptibility testing in less than 30 min using direct single-cell imaging
Open accessAbstract
Significance: Antibiotic resistance is a global threat to human health. The problem is aggravated by unnecessary and incorrect use of broad spectrum antibiotics. One way to provide correct treatment and slow down the development of antibiotic resistance is to assay the susceptibility profile of the infecting bacteria before treatment is initiated and let this information guide the choice of antibiotic. Here, we present an antibiotic susceptibility test that is sufficiently fast to be used at the point of care. We show that it is possible to determine if a urinary tract infection is caused by resistant bacteria within 30 min of loading a urine sample, even if the bacterial concentration in the urine is very low.
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
Robust single-particle tracking in live-cell time-lapse sequences
Jaqaman, K., Loerke, D., Mettlen, M., Kuwata, H., Grinstein, S., Schmid, S. L., & Danuser, G. (2008) · Nature Methods · doi:10.1038/nmeth.1237 · Cited by 1,970
Robust Growth of Escherichia coli
Wang, P., Robert, L., Pelletier, J., Dang, W. L., Taddei, F., Wright, A., & Jun, S. (2010) · Current Biology · doi:10.1016/j.cub.2010.04.045 · Cited by 1,014
Matuschek, E., Brown, D. F. J., & Kahlmeter, G. (2014) · Clinical Microbiology and Infection · doi:10.1111/1469-0691.12373 · Cited by 887
Urinary Tract Infections: Disease Panorama and Challenges
Stamm, W. E., & Norrby, S. R. (2001) · The Journal of Infectious Diseases · doi:10.1086/318850 · Cited by 825
Fast radial symmetry for detecting points of interest
Loy, G., & Zelinsky, A. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1217601 · Cited by 593
The Diagnosis of Urinary Tract Infection
Schmiemann, G., Kniehl, E., Gebhardt, K., Matejczyk, M. M., & Hummers-Pradier, E. (2010) · Deutsches Ärzteblatt international · doi:10.3238/arztebl.2010.0361 · Cited by 440
Kline, K. A., & Lewis, A. L. (2016) · Microbiology Spectrum · doi:10.1128/microbiolspec.uti-0012-2012 · Cited by 390
The Synchronization of Replication and Division Cycles in Individual E. coli Cells
Wallden, M., Fange, D., Lundius, E. G., Baltekin, Ö., & Elf, J. (2016) · Cell · doi:10.1016/j.cell.2016.06.052 · Cited by 331
Self-citationInterplay in the Selection of Fluoroquinolone Resistance and Bacterial Fitness
Marcusson, L. L., Frimodt-Møller, N., & Hughes, D. (2009) · PLoS Pathogens · doi:10.1371/journal.ppat.1000541 · Cited by 320
A rapid antimicrobial susceptibility test based on single-cell morphological analysis
Choi, J., Yoo, J., Lee, M., Kim, E.-G., Lee, J. S., Lee, S., Joo, S., Song, S. H., Kim, E.-C., Lee, J. C., et al. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3009650 · Cited by 311
Cited by
Sequencing-based methods and resources to study antimicrobial resistance
Boolchandani, M., D’Souza, A. W., & Dantas, G. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0108-4 · Cited by 522
Mechanisms and clinical relevance of bacterial heteroresistance
Andersson, D. I., Nicoloff, H., & Hjort, K. (2019) · Nature Reviews Microbiology · doi:10.1038/s41579-019-0218-1 · Cited by 513
Self-citationCurrent and Emerging Methods of Antibiotic Susceptibility Testing
Khan, Z. A., Siddiqui, M. F., & Park, S. (2019) · Diagnostics · doi:10.3390/diagnostics9020049 · Cited by 442
Innovative and rapid antimicrobial susceptibility testing systems
van Belkum, A., Burnham, C.-A. D., Rossen, J. W. A., Mallard, F., Rochas, O., & Dunne, W. M. (2020) · Nature Reviews Microbiology · doi:10.1038/s41579-020-0327-x · Cited by 355
Antibiotic resistance: turning evolutionary principles into clinical reality
Andersson, D. I., Balaban, N. Q., Baquero, F., Courvalin, P., Glaser, P., Gophna, U., Kishony, R., Molin, S., & Tønjum, T. (2020) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuaa001 · Cited by 238
Self-citation
Metadata
- Authors
- Baltekin, Ö., Boucharin, A., Tano, E., Andersson, D. I., & Elf, J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2017-08-08
- Volume
- 114
- Issue
- 34
- Pages
- 9170-9175
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2744332922
- Cited by
- 417
- References
- 21
- FWCI
- 24.11
- Type
- journal article
- Language
- en
- Open access
- green
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: Antibiotic susceptibility testing in less than 30 min using direct single-cell imaging. https://app.cochat.ai/papers/10.1073/pnas.1708558114
- The paper
- Baltekin, Ö., Boucharin, A., Tano, E., Andersson, D. I., & Elf, J. (2017). Antibiotic susceptibility testing in less than 30 min using direct single-cell imaging. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1708558114
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.