Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 473

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Integration of Cell Culture and Microfabrication Technology

Park, Tai Hyun, Shuler, Michael L.·2003·Biotechnology Progress

Abstract

Recent progress in cell culture and microfabrication technologies has contributed to the development of cell‐based biosensors for the functional characterization and detection of drugs, pathogens, toxicants, and odorants. The cell‐based biosensors are composed of two transducers, where the primary transducer is cellular and the secondary transducer is typically electrical. Advances in gene manipulation and cell culture techniques have contributed to the development of the cell as a transducer, while microfabrication techniques have been applied to the development of integrating the cell with the second transducer. Cellular patterning using microfabrication techniques is essential for cell‐based biosensors, cell culture analogues, tissue engineering, and fundamental studies of cell biology. The photolithographic technique is highly developed and has been widely used for patterning cells. Recently, a set of alternative techniques, largely based on soft lithoghraphy, has been developed for biological applications. Those techniques include microcontact printing, microfluidic patterning using microchannels, and laminar flow patterning. A classical metallic stencil patterning method has been improved by employing a rubber‐like stencil. These cellular micropatterning techniques have been usefully employed to understand questions in fundamental cell biology, especially cellular interactions with various materials and other cells. Using these micropatterning tecchniques and insights into the interaction of cellular biology with surfaces, a wide array of biosensors have been developed. In this manuscript examples of cell‐based biosensors are described. Neurons have a great potential for use in a cell‐based biosensor because they are electrically excitable cells, from which electrical signals are generated with the binding of detecting molecules. Consequently, the electrical signals generated in the cell can be determined in a noninvasive manner. A microphysiometer is a device to detect functional responses from cells by measuring the change of extracellular pH. The main application of the microphysiometer is the analysis of functional responses of cells upon receptor stimulation. Development of a microscale cell culture analogue system, an in vitro animal or human surrogate, is another promising area using cell culture and microfabrication technologies. Such devices are potentially very useful in the fields of toxicology and drug testing because they may increase the accuracy of in vitro predictions, simplify testing procedures, and reduce the cost of such tests, allowing many more tests to be done with a limited set of resources.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/bp020143k

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

See all 473

Metadata

Authors
Park, T. H., & Shuler, M. L.
Venue
Biotechnology Progress
Publisher
Wiley
Published
2003-01
Volume
19
Issue
2
Pages
243-253
ISSN
  • 1520-6033 (ISSN-L)
  • 8756-7938
OpenAlex
W2150739149
Cited by
473
References
2
FWCI
8.22
Type
journal article
Language
en
Open access
closed

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

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.