Evidence map›Paper›PMID 40084556›Full record

ArticleBiomaterials science2025

Leveraging microtopography to pattern multi-oriented muscle actuators.

Tamara Rossy, Laura Schwendeman, Sonika Kohli, Maheera Bawa, Pavankumar Umashankar, Roi Habba, Oren Tchaicheeyan, Ayelet Lesman, Ritu Raman

Abstract read
In one paragraph

Article in Biomaterials science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Biohybrid Tendons Enhance the Power-to-Weight Ratio and Modularity of Muscle-Powered Robots.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Article
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

9 authors.

Tamara RossyDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. ritur@mit.edu.ORCID http://orcid.org/0000-0002-0945-619X
Laura SchwendemanDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. ritur@mit.edu.
Sonika KohliDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. ritur@mit.edu.
Maheera BawaDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. ritur@mit.edu.
Pavankumar UmashankarDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. ritur@mit.edu.
Roi HabbaSchool of Mechanical Engineering, the Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
Oren TchaicheeyanSchool of Mechanical Engineering, the Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
Ayelet LesmanSchool of Mechanical Engineering, the Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
Ritu RamanDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. ritur@mit.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Engineering skeletal muscle tissue with precisely defined alignment is of significant importance for applications ranging from drug screening to biohybrid robotics. Aligning 2D contractile muscle monolayers, which are compatible with high-content imaging and can be deployed in planar soft robots, typically requires micropatterned cues. However, current protocols for integrating microscale topographical features in extracellular matrix hydrogels require expensive microfabrication equipment and multi-step procedures involving error-prone manual handling steps. To address this challenge, we present STAMP (simple templating of actuators

Indexed as

HydrogelsMuscle Fibers, SkeletalMuscle, SkeletalTissue EngineeringAnimalsHumansMicePrinting, Three-DimensionalRoboticsHydrogels

Identifiers

PMID40084556
PMCPMC11907412

What OpenQuestion holds

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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.