Evidence map›Paper›PMID 35812806›Full record

ReviewMicrosystems & nanoengineering2022

Recent advances in microsystem approaches for mechanical characterization of soft biological tissues.

Enming Song, Ya Huang, Ningge Huang, Yongfeng Mei, Xinge Yu, John A Rogers

Abstract readReview
In one paragraph

Review in Microsystems & nanoengineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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.

Enming Song *Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Fudan University, Shanghai, 200433 China.ORCID 0000-0002-2658-904X
Ya Huang *Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077 China.
Ningge Huang *Department of Materials Science, Fudan University, Shanghai, 200433 China.
Yongfeng MeiInternational Institute of Intelligent Nanorobots and Nanosystems, Fudan University, Shanghai, 200433 China.ORCID 0000-0002-3314-6108
Xinge YuDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077 China.ORCID 0000-0003-0522-1171
John A RogersQuerrey Simpson Institute for Bioelectronics, Department of Materials Science and Engineering, Departments of Biomedical Engineering, Neurological Surgery, Chemistry, Mechanical Engineering, Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208 USA.ORCID 0000-0002-2980-3961

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microsystem technologies for evaluating the mechanical properties of soft biological tissues offer various capabilities relevant to medical research and clinical diagnosis of pathophysiologic conditions. Recent progress includes (1) the development of tissue-compliant designs that provide minimally invasive interfaces to soft, dynamic biological surfaces and (2) improvements in options for assessments of elastic moduli at spatial scales from cellular resolution to macroscopic areas and across depths from superficial levels to deep geometries. This review summarizes a collection of these technologies, with an emphasis on operational principles, fabrication methods, device designs, integration schemes, and measurement features. The core content begins with a discussion of platforms ranging from penetrating filamentary probes and shape-conformal sheets to stretchable arrays of ultrasonic transducers. Subsequent sections examine different techniques based on planar microelectromechanical system (MEMS) approaches for biocompatible interfaces to targets that span scales from individual cells to organs. One highlighted example includes miniature electromechanical devices that allow depth profiling of soft tissue biomechanics across a wide range of thicknesses. The clinical utility of these technologies is in monitoring changes in tissue properties and in targeting/identifying diseased tissues with distinct variations in modulus. The results suggest future opportunities in engineered systems for biomechanical sensing, spanning a broad scope of applications with relevance to many aspects of health care and biology research.

Indexed as

Electrical and electronic engineeringEngineering

Identifiers

PMID35812806
PMCPMC9262960

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Registered trials

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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.