Evidence map›Paper›PMID 42428588›Full record

ArticleJournal of micro and nano science and engineering2026

Measuring Perfusion Pressure and Flow Resistance in a Microfluidic Device Using an External Optical System.

Matthew C Coughlin, Marie A Floryan, Giovanni S Offeddu, Mark F Coughlin

Abstract read
In one paragraph

Article in Journal of micro and nano science and engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Matthew C CoughlinDepartment of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115.
Marie A FloryanDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.
Giovanni S OffedduDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.
Mark F CoughlinDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.

Funding

Studying E-cadherin dynamics during extravasation and metastatic colonizationU54CA261694 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI ROGER D KAMM, Vivek Shenoy · 2021 to 2026
$9.1M
NCI NIH HHS U54 CA261694
6 · The paper itself

Abstract

The pathology of human diseases is now investigated using vascularized microphysiological systems (MPSs). Efforts to increase physiological relevance of these platforms have centered on the incorporation of organ-specific cellular and noncellular constituents. However, tissue-specific cellular constituents must experience appropriate physical forces to faithfully replicate physiological function. Quantification of physical forces in MPS has received little attention. The goal of this study was to establish a simple and robust system capable of interfacing with existing pumps to quantitatively characterize the flow delivered to an MPS. The system assessed both the fluid pressure driving flow through a microphysiological platform and the resistance to flow of glass capillary tubes or a model vascular network. The system showed excellent qualitative and quantitative agreement with resistance values measured by a hydrostatic approach and predicted for laminar flow through a smooth capillary tube. Importantly, the system is optically based without sensors contacting the circulating fluid making it ideally suited for long-term biological studies where sterility is paramount. Benchmarking experiments were supplemented with measurements of driving pressure and flow resistance from vascular structures within an MPS in a humidified incubator. Vascular resistance measurements were consistent with published results obtained from similar microvascular networks.

Identifiers

PMID42428588
PMCPMC13347772

What OpenQuestion holds

Textmetadata
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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.