Evidence map›Paper›PMID 20203666›Full record

ArticleNature protocols2010

Soft lithography for micro- and nanoscale patterning.

Dong Qin, Younan Xia, George M Whitesides

Abstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 633 papers.

0numbers the graph read from it
0cells of the map it votes in
633citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

633 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Tailoring Superwettability Through Bioinspired Reentrant Microstructures.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  5. Review
  6. Review
  7. Review
  8. Exploiting Device Deformability for Fluid and Particle Manipulation.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. The 2026 guided acoustic waves roadmap.Journal of physics D: Applied physics · 2026
    Review
  19. Article
  20. Article

573 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dong QinNano Research Facility and Department of Energy, Environmental, and Chemical Engineering, Washington University, St. Louis, Missouri, USA.
Younan Xia
George M Whitesides

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This protocol provides an introduction to soft lithography--a collection of techniques based on printing, molding and embossing with an elastomeric stamp. Soft lithography provides access to three-dimensional and curved structures, tolerates a wide variety of materials, generates well-defined and controllable surface chemistries, and is generally compatible with biological applications. It is also low in cost, experimentally convenient and has emerged as a technology useful for a number of applications that include cell biology, microfluidics, lab-on-a-chip, microelectromechanical systems and flexible electronics/photonics. As examples, here we focus on three of the commonly used soft lithographic techniques: (i) microcontact printing of alkanethiols and proteins on gold-coated and glass substrates; (ii) replica molding for fabrication of microfluidic devices in poly(dimethyl siloxane), and of nanostructures in polyurethane or epoxy; and (iii) solvent-assisted micromolding of nanostructures in poly(methyl methacrylate).

Indexed as

BiotechnologyCoated Materials, BiocompatibleElastomersMicrofluidic Analytical TechniquesNanostructuresNanotechnologyPhotographyPolymersCoated Materials, BiocompatibleElastomersPolymers

Identifiers

PMID20203666

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.