The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Simultaneous two-photon calcium imaging at different depths with spatiotemporal multiplexing
Open accessAbstract
In vivo two-photon calcium imaging would benefit from the use of multiple excitation beams to increase scanning speed, signal-to-noise ratio and field of view or to image different axial planes simultaneously. Using spatiotemporal multiplexing we circumvented light-scattering ambiguity inherent to deep-tissue multifocal two-photon microscopy. We demonstrate calcium imaging at multiple axial planes in the intact mouse brain to monitor network activity of ensembles of cortical neurons in three spatial dimensions.
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Citations
Cites
Principles of two-photon excitation microscopy and its applications to neuroscience
Svoboda, K., & Yasuda, R. (2006) · Neuron · doi:10.1016/j.neuron.2006.05.019 · Cited by 1,027
Attractor dynamics of network UP states in the neocortex
Cossart, R., Aronov, D., & Yuste, R. (2003) · Nature · doi:10.1038/nature01614 · Cited by 659
Broadly tuned response properties of diverse inhibitory neuron subtypes in mouse visual cortex
Kerlin, A. M., Andermann, M. L., Berezovskii, V. K., & Reid, R. C. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.002 · Cited by 613
High-speed in vivo calcium imaging reveals neuronal network activity with near-millisecond precision
Grewe, B. F., Langer, D., Kasper, H., Kampa, B. M., & Helmchen, F. (2010) · Nature Methods · doi:10.1038/nmeth.1453 · Cited by 522
Highly Nonlinear Photodamage in Two-Photon Fluorescence Microscopy
Hopt, A., & Neher, E. (2001) · Biophysical Journal · doi:10.1016/s0006-3495(01)76173-5 · Cited by 442
Two-photon microscopy in brain tissue: parameters influencing the imaging depth
Oheim, M., Beaurepaire, E., Chaigneau, E., Mertz, J., & Charpak, S. (2001) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(01)00438-1 · Cited by 425
Imaging cellular network dynamics in three dimensions using fast 3D laser scanning
Göbel, W., Kampa, B. M., & Helmchen, F. (2007) · Nature Methods · doi:10.1038/nmeth989 · Cited by 365
Targeted patch-clamp recordings and single-cell electroporation of unlabeled neurons in vivo
Kitamura, K., Judkewitz, B., Kano, M., Denk, W., & Häusser, M. (2008) · Nature Methods · doi:10.1038/nmeth1150 · Cited by 341
Three-dimensional random access multiphoton microscopy for functional imaging of neuronal activity
Duemani Reddy, G., Kelleher, K., Fink, R., & Saggau, P. (2008) · Nature Neuroscience · doi:10.1038/nn.2116 · Cited by 340
Internally Mediated Developmental Desynchronization of Neocortical Network Activity
Golshani, P., Gonçalves, J. T., Khoshkhoo, S., Mostany, R., Smirnakis, S., & Portera-Cailliau, C. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.2012-09.2009 · Cited by 298
Self-citationSparsification of neuronal activity in the visual cortex at eye-opening
Rochefort, N. L., Garaschuk, O., Milos, R.-I., Narushima, M., Marandi, N., Pichler, B., Kovalchuk, Y., & Konnerth, A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0907660106 · Cited by 282
High-speed, low-photodamage nonlinear imaging using passive pulse splitters
Ji, N., Magee, J. C., & Betzig, E. (2008) · Nature Methods · doi:10.1038/nmeth.1175 · Cited by 248
Targeted bulk-loading of fluorescent indicators for two-photon brain imaging in vivo
Garaschuk, O., Milos, R.-I., & Konnerth, A. (2006) · Nature Protocols · doi:10.1038/nprot.2006.58 · Cited by 235
Video-Rate Scanning Two-Photon Excitation Fluorescence Microscopy and Ratio Imaging with Cameleons
Fan, G. Y., Fujisaki, H., Miyawaki, A., Tsay, R.-K., Tsien, R. Y., & Ellisman, M. H. (1999) · Biophysical Journal · doi:10.1016/s0006-3495(99)77396-0 · Cited by 231
Parallel processing of visual space by neighboring neurons in mouse visual cortex
Smith, S. L., & Häusser, M. (2010) · Nature Neuroscience · doi:10.1038/nn.2620 · Cited by 203
A Craniotomy Surgery Procedure for Chronic Brain Imaging
Mostany, R., & Portera-Cailliau, C. (2008) · Journal of Visualized Experiments · doi:10.3791/680 · Cited by 175
Self-citationOptical probing of neuronal ensemble activity
Grewe, B. F., & Helmchen, F. (2009) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2009.09.003 · Cited by 152
High efficiency beam splitter for multifocal multiphoton microscopy
Nielsen, T., Fricke, M., Hellweg, D., et al. (2001) · Journal of Microscopy · doi:10.1046/j.1365-2818.2001.00852.x · Cited by 142
Multifocal multiphoton microscopy based on multianode photomultiplier tubes
Kim, K. H., Buehler, C., Bahlmann, K., Ragan, T. M., Lee, W.-C. A., Nedivi, E., Heffer, E. L., Fantini, S., & So, P. T. C. (2007) · Optics Express · doi:10.1364/oe.15.011658 · Cited by 109
[19] Video-rate confocal microscopy
Sanderson, M. J., & Parker, I. (2003) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/s0076-6879(03)60123-0 · Cited by 59
Automatic Identification of Fluorescently Labeled Brain Cells for Rapid Functional Imaging
Valmianski, I., Shih, A. Y., Driscoll, J. D., Matthews, D. W., Freund, Y., & Kleinfeld, D. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00484.2010 · Cited by 53
Kremer, Y., Léger, J., Lapole, R., Honnorat, N., Candela, Y., Dieudonné, S., & Bourdieu, L. (2008) · Optics Express · doi:10.1364/oe.16.010066 · Cited by 47
Hybrid photodetector for single-molecule spectroscopy and microscopy
Michalet, X., Cheng, A., Antelman, J., Suyama, M., Arisaka, K., & Weiss, S. (2008) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.763449 · Cited by 44
Self-citationIn Vivo 2-Photon Calcium Imaging in Layer 2/3 of Mice
Golshani, P., & Portera‐Cailliau, C. (2008) · Journal of Visualized Experiments · doi:10.3791/681 · Cited by 33
Self-citation
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Cortical layer-specific critical dynamics triggering perception
Marshel, J. H., Kim, Y. S., Machado, T. A., Quirin, S., Benson, B., Kadmon, J., Raja, C., Chibukhchyan, A., Ramakrishnan, C., Inoue, M., et al. (2019) · Science · doi:10.1126/science.aaw5202 · Cited by 652
Optical magnetic detection of single-neuron action potentials using quantum defects in diamond
Barry, J. F., Turner, M. J., Schloss, J. M., Glenn, D. R., Song, Y., Lukin, M. D., Park, H., & Walsworth, R. L. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1601513113 · Cited by 637
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Poskanzer, K. E., & Yuste, R. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1520759113 · Cited by 377
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Metadata
- Authors
- Cheng, A., Gonçalves, J. T., Golshani, P., Arisaka, K., & Portera-Cailliau, C.
- Venue
- Nature Methods
- Published
- 2011-01-09
- Volume
- 8
- Issue
- 2
- Pages
- 139-142
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2002735853
- Cited by
- 289
- References
- 24
- FWCI
- 11.45
- Type
- journal article
- Language
- en
- Open access
- green
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