The DOI matches its Crossref record.
Microfluidic Large-Scale Integration
Open accessAbstract
We developed high-density microfluidic chips that contain plumbing networks with thousands of micromechanical valves and hundreds of individually addressable chambers. These fluidic devices are analogous to electronic integrated circuits fabricated using large-scale integration. A key component of these networks is the fluidic multiplexor, which is a combinatorial array of binary valve patterns that exponentially increases the processing power of a network by allowing complex fluid manipulations with a minimal number of inputs. We used these integrated microfluidic networks to construct the microfluidic analog of a comparator array and a microfluidic memory storage device whose behavior resembles random-access memory.
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
Cited by
The origins and the future of microfluidics
Whitesides, G. M. (2006) · Nature · doi:10.1038/nature05058 · Cited by 9,687
Liu, Y., Ai, K., & Lu, L. (2014) · Chemical Reviews · doi:10.1021/cr400407a · Cited by 4,794
Rapid casting of patterned vascular networks for perfusable engineered three-dimensional tissues
Miller, J. S., Stevens, K. R., Yang, M. T., Baker, B. M., Nguyen, D.-H. T., Cohen, D. M., Toro, E., Chen, A. A., Galie, P. A., Yu, X., et al. (2012) · Nature Materials · doi:10.1038/nmat3357 · Cited by 1,917
From 3D cell culture to organs-on-chips
Huh, D., Hamilton, G. A., & Ingber, D. E. (2011) · Trends in Cell Biology · doi:10.1016/j.tcb.2011.09.005 · Cited by 1,834
Microfluidic lab-on-a-chip platforms: requirements, characteristics and applications
Mark, D., Haeberle, S., Roth, G., von Stetten, F., & Zengerle, R. (2010) · Chemical Society Reviews · doi:10.1039/b820557b · Cited by 1,647
Metadata
- Authors
- Thorsen, T., Maerkl, S. J., & Quake, S. R.
- Venue
- Science
- Published
- 2002-10-18
- Volume
- 298
- Issue
- 5593
- Pages
- 580-584
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W3011891279
- Cited by
- 2,222
- References
- 0
- FWCI
- 58.65
- 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: Microfluidic Large-Scale Integration. https://app.cochat.ai/papers/10.1126/science.1076996
- The paper
- Thorsen, T., Maerkl, S. J., & Quake, S. R. (2002). Microfluidic Large-Scale Integration. Science. https://doi.org/10.1126/science.1076996
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.