The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Miniaturized integration of a fluorescence microscope
Open accessAbstract
The light microscope is traditionally an instrument of substantial size and expense. Its miniaturized integration would enable many new applications based on mass-producible, tiny microscopes. Key prospective usages include brain imaging in behaving animals for relating cellular dynamics to animal behavior. Here we introduce a miniature (1.9 g) integrated fluorescence microscope made from mass-producible parts, including a semiconductor light source and sensor. This device enables high-speed cellular imaging across ∼0.5 mm2 areas in active mice. This capability allowed concurrent tracking of Ca2+ spiking in >200 Purkinje neurons across nine cerebellar microzones. During mouse locomotion, individual microzones exhibited large-scale, synchronized Ca2+ spiking. This is a mesoscopic neural dynamic missed by prior techniques for studying the brain at other length scales. Overall, the integrated microscope is a potentially transformative technology that permits distribution to many animals and enables diverse usages, such as portable diagnostics or microscope arrays for large-scale screens.
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 Threshold Selection Method from Gray-Level Histograms
Otsu, N. (1979) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1979.4310076 · Cited by 43,398
A pyramid approach to subpixel registration based on intensity
Thevenaz, P., Ruttimann, U. E., & Unser, M. (1998) · IEEE Transactions on Image Processing · doi:10.1109/83.650848 · Cited by 3,078
Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators
Tian, L., Hires, S. A., Mao, T., Huber, D., Chiappe, M. E., Chalasani, S. H., Petreanu, L., Akerboom, J., McKinney, S. A., Schreiter, E. R., et al. (2009) · Nature Methods · doi:10.1038/nmeth.1398 · Cited by 1,967
Imaging large-scale neural activity with cellular resolution in awake, mobile mice
Dombeck, D. A., Khabbaz, A. N., Collman, F., Adelman, T. L., & Tank, D. W. (2007) · Neuron · doi:10.1016/j.neuron.2007.08.003 · Cited by 1,099
El Gamal, A., & Eltoukhy, H. (2005) · IEEE Circuits and Devices Magazine · doi:10.1109/mcd.2005.1438751 · Cited by 801
Fluorescence versus conventional sputum smear microscopy for tuberculosis: a systematic review
Steingart, K. R., Henry, M., Ng, V., Hopewell, P. C., Ramsay, A., Cunningham, J., Urbanczik, R., Perkins, M., Aziz, M. A., & Pai, M. (2006) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(06)70578-3 · Cited by 798
Automated Analysis of Cellular Signals from Large-Scale Calcium Imaging Data
Mukamel, E. A., Nimmerjahn, A., & Schnitzer, M. J. (2009) · Neuron · doi:10.1016/j.neuron.2009.08.009 · Cited by 707
Self-citationMobile Phone Based Clinical Microscopy for Global Health Applications
Breslauer, D. N., Maamari, R. N., Switz, N. A., Lam, W. A., & Fletcher, D. A. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006320 · Cited by 694
Dynamic organization of motor control within the olivocerebellar system
Welsh, J. P., Lang, E. J., Suglhara, I., & Llinás, R. (1995) · Nature · doi:10.1038/374453a0 · Cited by 685
A Miniature Head-Mounted Two-Photon Microscope
Helmchen, F., Fee, M. S., Tank, D. W., & Denk, W. (2001) · Neuron · doi:10.1016/s0896-6273(01)00421-4 · Cited by 622
Cited by
Long-term dynamics of CA1 hippocampal place codes
Ziv, Y., Burns, L. D., Cocker, E. D., Hamel, E. O., Ghosh, K. K., Kitch, L. J., Gamal, A. E., & Schnitzer, M. J. (2013) · Nature Neuroscience · doi:10.1038/nn.3329 · Cited by 1,155
Self-citationNeuronal cell-type classification: challenges, opportunities and the path forward
Zeng, H., & Sanes, J. R. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.85 · Cited by 841
Neurons for hunger and thirst transmit a negative-valence teaching signal
Betley, J. N., Xu, S., Cao, Z. F. H., Gong, R., Magnus, C. J., Yu, Y., & Sternson, S. M. (2015) · Nature · doi:10.1038/nature14416 · Cited by 704
Hippocampal neurogenesis confers stress resilience by inhibiting the ventral dentate gyrus
Anacker, C., Luna, V. M., Stevens, G. S., Millette, A., Shores, R., Jimenez, J. C., Chen, B., & Hen, R. (2018) · Nature · doi:10.1038/s41586-018-0262-4 · Cited by 605
A synaptic threshold mechanism for computing escape decisions
Evans, D. A., Stempel, A. V., Vale, R., Ruehle, S., Lefler, Y., & Branco, T. (2018) · Nature · doi:10.1038/s41586-018-0244-6 · Cited by 449
Metadata
- Authors
- Ghosh, K. K., Burns, L. D., Cocker, E. D., Nimmerjahn, A., Ziv, Y., Gamal, A. E., & Schnitzer, M. J.
- Venue
- Nature Methods
- Published
- 2011-09-11
- Volume
- 8
- Issue
- 10
- Pages
- 871-878
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2077374589
- Cited by
- 1,120
- References
- 39
- FWCI
- 17.01
- 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: Miniaturized integration of a fluorescence microscope. https://app.cochat.ai/papers/10.1038/nmeth.1694
- The paper
- Ghosh, K. K., Burns, L. D., Cocker, E. D., Nimmerjahn, A., Ziv, Y., Gamal, A. E., & Schnitzer, M. J. (2011). Miniaturized integration of a fluorescence microscope. Nature Methods. https://doi.org/10.1038/nmeth.1694
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.