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Randomly Ordered Addressable High-Density Optical Sensor Arrays
Abstract
Array-based sensors provide an architecture for multianalyte sensing. In this paper, we report a new approach for array fabrication. Sensors are made by immobilizing different reactive chemistries on the surfaces of microspheres. Sensor arrays are prepared by randomly distributing a mixture of microsphere sensors on an optical substrate containing thousands of micrometer-scale wells. The sensors occupy a different location from array to array; thus the identity of each sensor is ascertained and registered on the detector using encoding schemes, rather than by a predetermined location in the array. The approach thereby shifts the demand from fabrication to signal processing. The availability of commercial image analysis software makes such a shift both cost-effective and time efficient.
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Citations
Cited by
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Röck, F., Barsan, N., & Weimar, U. (2008) · Chemical Reviews · doi:10.1021/cr068121q · Cited by 1,437
High-definition spatial transcriptomics for in situ tissue profiling
Vickovic, S., Eraslan, G., Salmén, F., Klughammer, J., Stenbeck, L., Schapiro, D., Äijö, T., Bonneau, R., Bergenstråhle, L., Navarro, J. F., et al. (2019) · Nature Methods · doi:10.1038/s41592-019-0548-y · Cited by 1,150
Borisov, S. M., & Wolfbeis, O. S. (2008) · Chemical Reviews · doi:10.1021/cr068105t · Cited by 1,018
Metadata
- Authors
- Michael, K. L., Taylor, L. C., Schultz, S. L., & Walt, D. R.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 1998-03-04
- Volume
- 70
- Issue
- 7
- Pages
- 1242-1248
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2063790852
- Cited by
- 325
- References
- 0
- FWCI
- 7.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- Michael, K. L., Taylor, L. C., Schultz, S. L., & Walt, D. R. (1998). Randomly Ordered Addressable High-Density Optical Sensor Arrays. Analytical Chemistry. https://doi.org/10.1021/ac971343r
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.