Constructing a cost-efficient, high-throughput and high-quality single-molecule localization microscope for super-resolution imaging.
Open accessAbstract
Single-molecule localization microscopy (SMLM) leverages the power of modern optics to unleash ultra-precise structural nanoscopy of complex biological machines in their native environments as well as ultra-sensitive and high-throughput medical diagnostics with the sensitivity of a single molecule. To achieve this remarkable speed and resolution, SMLM setups are either built by research laboratories with strong expertise in optical engineering or commercially sold at a hefty price tag. The inaccessibility of SMLM to life scientists for technical or financial reasons is detrimental to the progress of biological and biomedical discoveries reliant on super-resolution imaging. In this work, we present the NanoPro, an economic, high-throughput, high-quality and easy-to-assemble SMLM for super-resolution imaging. We show that our instrument performs similarly to the most expensive, best-in-class commercial microscopes and rivals existing open-source microscopes at a lower price and construction complexity. To facilitate its wide adoption, we compiled a step-by-step protocol, accompanied by extensive illustrations, to aid inexperienced researchers in constructing the NanoPro as well as assessing its performance by imaging ground-truth samples as small as 20 nm. The detailed visual instructions make it possible for students with little expertise in microscopy engineering to construct, validate and use the NanoPro in <1 week, provided that all components are available.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The technique used to quantify soluble Aβ aggregates has previously been validated in multiple studies and specifically detects aggregates, not monomers.
“The technique used to quantify soluble aggregates has previously been validated in multiple studies and has been shown to specifically detect aggregates, and not monomers [29–31].”
From Selective suppression of oligodendrocyte-derived amyloid beta rescues neuronal dysfunction in Alzheimer’s disease (2024) · cites this paper as [31]
Figure 5 (p. 56) describes imaging recombinant α-synuclein aggregates, while the Introduction (p. 1) mentions amyloid aggregates generally. Our copy does not address validation of a technique for quantifying soluble Aβ aggregates or show that it detects aggregates rather than monomers; searches for those terms found no such passage. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Imaging Intracellular Fluorescent Proteins at Nanometer Resolution
Betzig, E., Patterson, G. H., Sougrat, R., Lindwasser, O. W., Olenych, S. G., Bonifacino, J. S., Davidson, M. W., Lippincott‐Schwartz, J., & Hess, H. F. (2006) · Science · doi:10.1126/science.1127344 · Cited by 8,802 · see citing works
Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM)
Rust, M. J., Bates, M., & Zhuang, X. (2006) · Nature Methods · doi:10.1038/nmeth929 · Cited by 8,109 · see citing works
Folding DNA to create nanoscale shapes and patterns
Rothemund, P. W. K. (2006) · Nature · doi:10.1038/nature04586 · Cited by 7,391 · see citing works
Three-Dimensional Super-Resolution Imaging by Stochastic Optical Reconstruction Microscopy
Huang, B., Wang, W.-Q., Bates, M., & Zhuang, X. (2008) · Science · doi:10.1126/science.1153529 · Cited by 2,801 · see citing works
Self-assembly of DNA into nanoscale three-dimensional shapes
Douglas, S. M., Dietz, H., Liedl, T., Högberg, B., Graf, F., & Shih, W. M. (2009) · Nature · doi:10.1038/nature08016 · Cited by 2,579 · see citing works
Subdiffraction‐Resolution Fluorescence Imaging with Conventional Fluorescent Probes
Heilemann, M., van de Linde, S., Schüttpelz, M., Kasper, R. T., Seefeldt, B., Mukherjee, A., Tinnefeld, P., & Sauer, M. (2008) · Angewandte Chemie International Edition · doi:10.1002/anie.200802376 · Cited by 1,870 · see citing works
Evaluation of fluorophores for optimal performance in localization-based super-resolution imaging
Dempsey, G. T., Vaughan, J. C., Chen, K. H., Bates, M., & Zhuang, X. (2011) · Nature Methods · doi:10.1038/nmeth.1768 · Cited by 1,374 · see citing works
Actin, Spectrin, and Associated Proteins Form a Periodic Cytoskeletal Structure in Axons
Xu, K., Zhong, G., & Zhuang, X. (2012) · Science · doi:10.1126/science.1232251 · Cited by 1,247 · see citing works
Nanometer resolution imaging and tracking of fluorescent molecules with minimal photon fluxes
Balzarotti, F., Eilers, Y., Gwosch, K. C., Gynnå, A. H., Westphal, V., Stefani, F. D., Elf, J., & Hell, S. W. (2016) · Science · doi:10.1126/science.aak9913 · Cited by 1,233 · see citing works
Multiplexed 3D cellular super-resolution imaging with DNA-PAINT and Exchange-PAINT
Jungmann, R., Avendaño, M. S., Woehrstein, J. B., Dai, M., Shih, W. M., & Yin, P. (2014) · Nature Methods · doi:10.1038/nmeth.2835 · Cited by 1,137 · see citing works
Direct stochastic optical reconstruction microscopy with standard fluorescent probes
van de Linde, S., Löschberger, A., Klein, T., Heidbreder, M., Wolter, S., Heilemann, M., & Sauer, M. (2011) · Nature Protocols · doi:10.1038/nprot.2011.336 · Cited by 1,076 · see citing works
Super-resolution microscopy with DNA-PAINT
Schnitzbauer, J., Strauss, M. T., Schlichthaerle, T., Schueder, F., & Jungmann, R. (2017) · Nature Protocols · doi:10.1038/nprot.2017.024 · Cited by 1,047 · see citing works
Measuring image resolution in optical nanoscopy
Nieuwenhuizen, R. P. J., Lidke, K. A., Bates, M., Leyton-Puig, D., Grünwald, D., Stallinga, S., & Rieger, B. (2013) · Nature Methods · doi:10.1038/nmeth.2448 · Cited by 804 · see citing works
Precisely and accurately localizing single emitters in fluorescence microscopy
Deschout, H. G., Zanacchi, F. C., Mlodzianoski, M. J., Diaspro, A., Bewersdorf, J., Hess, S. T., & Braeckmans, K. (2014) · Nature Methods · doi:10.1038/nmeth.2843 · Cited by 500 · see citing works
Nuclear Pore Scaffold Structure Analyzed by Super-Resolution Microscopy and Particle Averaging
Szymborska, A., de Marco, A., Daigle, N., Cordes, V. C., Briggs, J. A. G., & Ellenberg, J. (2013) · Science · doi:10.1126/science.1240672 · Cited by 434 · see citing works
Nuclear pores as versatile reference standards for quantitative superresolution microscopy
Thevathasan, J. V., Kahnwald, M., Cieśliński, K., Hoess, P., Peneti, S. K., Reitberger, M., Heid, D., Kasuba, K. C., Hörner, S. J., Li, Y., et al. (2019) · Nature Methods · doi:10.1038/s41592-019-0574-9 · Cited by 344 · see citing works
Self-citationBax assembly into rings and arcs in apoptotic mitochondria is linked to membrane pores
Salvador‐Gallego, R., Mund, M., Cosentino, K., Schneider, J., Unsay, J., Schraermeyer, U., Engelhardt, J., Ries, J., & García‐Sáez, A. J. (2016) · The EMBO Journal · doi:10.15252/embj.201593384 · Cited by 296 · see citing works
Zhang, Z., Kenny, S. J., Hauser, M., et al. (2015) · Nature Methods · doi:10.1038/nmeth.3528 · Cited by 281 · see citing works
Shechtman, Y., Weiss, L. E., Backer, A. S., Sahl, S. J., & Moerner, W. E. (2015) · Nano Letters · doi:10.1021/acs.nanolett.5b01396 · Cited by 263 · see citing works
Single-molecule pull-down for studying protein interactions
Jain, A., Liu, R., Xiang, Y. K., & Ha, T. (2012) · Nature Protocols · doi:10.1038/nprot.2011.452 · Cited by 211 · see citing works
Multi-dimensional super-resolution imaging enables surface hydrophobicity mapping
Bongiovanni, M. N., Godet, J., Horrocks, M. H., Tosatto, L., Carr, A. R., Wirthensohn, D. C., Ranasinghe, R. T., Lee, J., Ponjavic, A., Fritz, J. V., et al. (2016) · Nature Communications · doi:10.1038/ncomms13544 · Cited by 209 · see citing works
Self-citationMund, M., van der Beek, J. A., Deschamps, J., Dmitrieff, S., Hoess, P., Monster, J. L., Picco, A., Nédélec, F., Kaksonen, M., & Ries, J. (2018) · Cell · doi:10.1016/j.cell.2018.06.032 · Cited by 202 · see citing works
Wang, Y., Schnitzbauer, J., Hu, Z., et al. (2014) · Optics Express · doi:10.1364/oe.22.015982 · Cited by 196 · see citing works
Imaging biological structures with fluorescence photoactivation localization microscopy
Gould, T. J., Verkhusha, V. V., & Hess, S. T. (2009) · Nature Protocols · doi:10.1038/nprot.2008.246 · Cited by 195 · see citing works
Robotic microscopy for everyone: the OpenFlexure microscope
Collins, J. T., Knapper, J., Stirling, J., et al. (2020) · Biomedical Optics Express · doi:10.1364/boe.385729 · Cited by 179 · see citing works
Fast, Background-Free DNA-PAINT Imaging Using FRET-Based Probes
Auer, A., Strauss, M. T., Schlichthaerle, T., et al. (2017) · Nano Letters · doi:10.1021/acs.nanolett.7b03425 · Cited by 131 · see citing works
Visualisation of dCas9 target search in vivo using an open-microscopy framework
Martens, K. J. A., van Beljouw, S. P. B., van der Els, S., Vink, J. N. A., Baas, S., Vogelaar, G., Brouns, S. J. J., van Baarlen, P., Kleerebezem, M., & Hohlbein, J. (2019) · Nature Communications · doi:10.1038/s41467-019-11514-0 · Cited by 109 · see citing works
Automating multimodal microscopy with NanoJ-Fluidics
Almada, P., Pereira, P. M., Culley, S., Caillol, G., Boroni-Rueda, F., Dix, C. L., Charras, G., Baum, B., Laine, R. F., Leterrier, C., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09231-9 · Cited by 102 · see citing works
Superresolution Imaging of Amyloid Fibrils with Binding-Activated Probes
Ries, J., Udayar, V., Soragni, A., Hornemann, S., Nilsson, K. P. R., Riek, R., Höck, C., Ewers, H., Aguzzi, A., & Rajendran, L. (2013) · ACS Chemical Neuroscience · doi:10.1021/cn400091m · Cited by 94 · see citing works
Martens, K. J. A., Bader, A. N., Baas, S., et al. (2017) · The Journal of Chemical Physics · doi:10.1063/1.5005899 · Cited by 74 · see citing works
Sideris, D. I., Danial, J. S. H., Emin, D., Ruggeri, F. S., Xia, Z., Zhang, Y. P., Lobanova, E., Dakin, H., De, S., Miller, A., et al. (2021) · Brain Communications · doi:10.1093/braincomms/fcab147 · Cited by 71 · see citing works
Self-citationA simple and cost-effective setup for super-resolution localization microscopy
Ma, H., Fu, R., Xu, J., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-01606-6 · Cited by 67 · see citing works
cellSTORM—Cost-effective super-resolution on a cellphone using dSTORM
Diederich, B., Then, P., Jügler, A., Förster, R., & Heintzmann, R. (2019) · PLoS ONE · doi:10.1371/journal.pone.0209827 · Cited by 59 · see citing works
Openstage: A Low-Cost Motorized Microscope Stage with Sub-Micron Positioning Accuracy
Campbell, R. A. A., Eifert, R. W., & Turner, G. C. (2014) · PLoS ONE · doi:10.1371/journal.pone.0088977 · Cited by 54 · see citing works
A Blueprint for Cost‐Efficient Localization Microscopy
Holm, T., Klein, T., Löschberger, A., et al. (2013) · ChemPhysChem · doi:10.1002/cphc.201300739 · Cited by 54 · see citing works
Cost-efficient open source laser engine for microscopy
Schröder, D., Deschamps, J. R., Dasgupta, A., et al. (2019) · Biomedical Optics Express · doi:10.1364/boe.380815 · Cited by 54 · see citing works
Nanoscopic Characterisation of Individual Endogenous Protein Aggregates in Human Neuronal Cells
Whiten, D. R., Zuo, Y., Calò, L., Choi, M. L., De, S., Flagmeier, P., Wirthensohn, D. C., Kundel, F., Ranasinghe, R. T., Sanchez, S. E., et al. (2018) · ChemBioChem · doi:10.1002/cbic.201800209 · Cited by 50 · see citing works
Self-citationNanometer‐scale Multiplexed Super‐Resolution Imaging with an Economic 3D‐DNA‐PAINT Microscope
Auer, A., Schlichthaerle, T., Woehrstein, J. B., et al. (2018) · ChemPhysChem · doi:10.1002/cphc.201800630 · Cited by 48 · see citing works
Super-resolution imaging reveals α-synuclein seeded aggregation in SH-SY5Y cells
Sang, J. C., Hidari, E., Meisl, G., Ranasinghe, R. T., Spillantini, M. G., & Klenerman, D. (2021) · Communications Biology · doi:10.1038/s42003-021-02126-w · Cited by 47 · see citing works
Self-citationNuclear pores as versatile reference standards for quantitative superresolution microscopyPreprint
Thevathasan, J. V., Kahnwald, M., Cieśliński, K., Hoess, P., Peneti, S. K., Reitberger, M., Heid, D., Kasuba, K. C., Hörner, S. J., Li, Y., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/582668 · Cited by 45 · see citing works
Self-citationSquid: Simplifying Quantitative Imaging Platform Development and DeploymentPreprint
Li, H., Krishnamurthy, D., Li, E., Vyas, P., Akireddy, N., Chai, C., & Prakash, M. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.28.424613 · Cited by 45 · see citing works
Drift correction in localization microscopy using entropy minimization
Cnossen, J. P., Cui, T. J., Joo, C., et al. (2021) · Optics Express · doi:10.1364/oe.426620 · Cited by 36 · see citing works
Bacterially Derived Antibody Binders as Small Adapters for DNA‐PAINT Microscopy
Schlichthaerle, T., Ganji, M., Auer, A., et al. (2018) · ChemBioChem · doi:10.1002/cbic.201800743 · Cited by 30 · see citing works
Enabling single-molecule localization microscopy in turbid food emulsions
Jabermoradi, A., Yang, S., Gobes, M. I., et al. (2022) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2020.0164 · Cited by 27 · see citing works
Robotic microscopy for everyone: the OpenFlexure MicroscopePreprint
Collins, J. T., Knapper, J., Stirling, J., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/861856 · Cited by 24 · see citing works
Enabling Spectrally Resolved Single-Molecule Localization Microscopy at High Emitter Densities
Martens, K. J. A., Gobes, M. I., Archontakis, E., Riera, R., Zijlstra, N., Albertazzi, L., & Hohlbein, J. (2022) · Nano Letters · doi:10.1021/acs.nanolett.2c03140 · Cited by 23 · see citing works
Adapting the 3D-printed Openflexure microscope enables computational super-resolution imaging
Grant, S., Cairns, G. S., Wistuba, J., et al. (2019) · F1000Research · doi:10.12688/f1000research.21294.1 · Cited by 18 · see citing works
An economic, square-shaped flat-field illumination module for TIRF-based super-resolution microscopy
Lam, J. Y. L., Wu, Y., Dimou, E., Zhang, Z., Cheetham, M. R., Körbel, M., Xia, Z., Klenerman, D., & Danial, J. S. H. (2022) · Biophysical Reports · doi:10.1016/j.bpr.2022.100044 · Cited by 14 · see citing works
Self-citationMartens, K. J. A., Jabermoradi, A., Yang, S., et al. (2020) · Methods · doi:10.1016/j.ymeth.2020.07.010 · Cited by 8 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Rajani, R. M., Ellingford, R., Hellmuth, M., Harris, S. S., Taso, O. S., Graykowski, D., Lam, F. K. W., Arber, C., Fertan, E., Danial, J. S. H., et al. (2024) · PLOS Biology · doi:10.1371/journal.pbio.3002727 · Cited by 57 · see citing works
“The technique used to quantify soluble aggregates has previously been validated in multiple studies and has been shown to specifically detect aggregates, and not monomers [29–31].”
BackgroundMethodSelf-citation
- Authors
- Danial, J. S. H., Lam, J. Y. L., Wu, Y., Woolley, M., Dimou, E., Cheetham, M. R., Emin, D., & Klenerman, D.
- Affiliations
- University of Cambridge (GB)
- Corresponding author
- Danial, John S. H.
- Klenerman, David
- ORCID
- Venue
- Nature Protocols
- Published
- 2022-08-24
- Volume
- 17
- Issue
- 11
- Pages
- 2570-2619
- ISSN
- 1750-2799 (ISSN-L)
- 1754-2189
- OpenAlex
- W4293004995
- Cited by
- 40
- References
- 49
- Citations by year
- 2026: 3 · 2025: 11 · 2024: 12 · 2023: 14
- FWCI
- 4.08
- Type
- journal article
- Language
- en
- Update notices
- correction (2023-09-27)
- Open access
- Licence
- Locations
- Nature Protocols (publishedVersion)
- PubMed (publishedVersion)
- Apollo (University of Cambridge) (submittedVersion, cc-by)
- Apollo (cc-by)
- Funders
- University of Cambridge | King’s College Cambridge, University of Cambridge
- RCUK | Medical Research Council
- Royal Society
- Croucher Foundation
- Deutsche Forschungsgemeinschaft
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Advanced Fluorescence Microscopy Techniques
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Force Microscopy Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
- Keywords
- single-molecule localization microscopy, super-resolution imaging, microscope construction, low-cost instrumentation, high-throughput imaging
- MeSH terms
- Single Molecule Imaging, Humans, Microscopy
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