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Gray-scale photolithography using microfluidic photomasks

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, February 2003
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

patent
117 patents

Readers on

mendeley
175 Mendeley
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Article details
Title
Gray-scale photolithography using microfluidic photomasks
Published in
Proceedings of the National Academy of Sciences of the United States of America, February 2003
DOI 10.1073/pnas.0435755100
Pubmed ID
Authors
Abstract

The ability to produce three-dimensional (3D) microstructures is of increasing importance in the miniaturization of mechanical or fluidic devices, optical elements, self-assembling components, and tissue-engineering scaffolds, among others. Traditional photolithography, the most widely used process for microdevice fabrication, is ill-suited for 3D fabrication, because it is based on the illumination of a photosensitive layer through a "photomask" (a transparent plate that contains opaque, unalterable solid-state features), which inevitably results in features of uniform height. We have devised photomasks in which the light-absorbing features are made of fluids. Unlike in conventional photomasks, the opacity of the photomask features can be tailored to an arbitrary number of gray-scale levels, and their spatial pattern can be reconfigured in the time scale of seconds. Here we demonstrate the inexpensive fabrication of photoresist patterns that contain features of multiple and/or smoothly varying heights. For a given microfluidic photomask, the developed photoresist pattern can be predicted as a function of the dye concentrations and photomask dimensions. For selected applications, microfluidic photomasks offer a low-cost alternative to present gray-scale photolithography approaches.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 2%
United Kingdom 2 1%
France 2 1%
Mexico 1 <1%
Korea, Republic of 1 <1%
Japan 1 <1%
Germany 1 <1%
Unknown 163 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 40 23%
Researcher 36 21%
Student > Master 18 10%
Professor 12 7%
Student > Bachelor 11 6%
Other 21 12%
Unknown 37 21%
Readers by discipline
Readers by discipline Count As %
Engineering 53 30%
Chemistry 21 12%
Materials Science 16 9%
Physics and Astronomy 14 8%
Agricultural and Biological Sciences 12 7%
Other 18 10%
Unknown 41 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 October 2026.
All research outputs
#5,217,001
of 34,763,505 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#49,135
of 119,650 outputs
Outputs of similar age
#16,752
of 199,354 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#185
of 546 outputs
Altmetric has tracked 34,763,505 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 119,650 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.2. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 199,354 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 546 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.