Evidence map›Paper›PMID 42603966›Full record

ArticleMethodsX2026

An accessible and open-source workflow for fabrication of custom PDMS culture chambers using 3D printing.

Antonio Algarín, Paula Lian Cabrera, Santiago F Scagliusi, Paula Daza, Alberto Yúfera, Daniel Martín

Abstract read
In one paragraph

Article in MethodsX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Antonio AlgarínDepartamento de Tecnología Electrónica, ETSII, Universidad de Sevilla, Spain.
Paula Lian CabreraDepartamento de Tecnología Electrónica, ETSII, Universidad de Sevilla, Spain.
Santiago F ScagliusiDepartamento de Tecnología Electrónica, ETSII, Universidad de Sevilla, Spain.
Paula DazaDepartamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, Spain.
Alberto YúferaDepartamento de Tecnología Electrónica, ETSII, Universidad de Sevilla, Spain.
Daniel MartínDepartamento de Tecnología Electrónica, ETSII, Universidad de Sevilla, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Custom cell culture platforms are widely used in tissue engineering applications. However, their fabrication often requires specialized microfabrication equipment and advanced technical skills, limiting accessibility. This work presents an accessible and open-source workflow for the fabrication of custom PDMS culture chambers. This workflow focuses on the use of parametric CAD designs, 3D-printed molds, resin casting and plasma-free bonding. The proposed approach allows users to generate customized molds adapted to the experimental requirements using a graphical interface without extensive CAD knowledge. The molds can be manufactured using commonly available 3D printers or outsourced at relatively low cost. Device assembly is performed using uncured PDMS as a bonding agent, eliminating the need for plasma bonding equipment. The resulting culture chambers were validated through watertightness testing and biological evaluation using N2a cell cultures. Cell viability after 72 h of culture was comparable to that observed in standard culture plates. By reducing requirements for specialized equipment and technical expertise, this workflow facilitates the rapid, low-cost and reproducible fabrication of customized PDMS culture platforms for tissue engineering and related biomedical applications.

Indexed as

Additive manufacturingParametric designTissue engineering

Identifiers

PMID42603966
PMCPMC13476465

What OpenQuestion holds

Textmetadata
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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.