Evidence map›Paper›PMID 30911341›Full record

ArticleJournal of micro/nanolithography, MEMS, and MOEMS : JM32018

Design and characterization of a package-less hybrid PDMS-CMOS-FR4 contact-imaging system for microfluidic integration.

Andres Galan, Gregory P Nordin, Shiuh-Hua Wood Chiang

Abstract read
In one paragraph

Article in Journal of micro/nanolithography, MEMS, and MOEMS : JM3, 2018. 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

3 authors.

Andres GalanBrigham Young University, Electrical and Computer Engineering, Provo, Utah, USA, 84602.
Gregory P NordinBrigham Young University, Electrical and Computer Engineering, Provo, Utah, USA, 84602.
Shiuh-Hua Wood ChiangBrigham Young University, Electrical and Computer Engineering, Provo, Utah, USA, 84602.

Funding

High Density 3D Printed Microfluidics With Open Source Resins for Biomedical ApplicationsR15GM123405 · NIGMS · BRIGHAM YOUNG UNIVERSITY · PI NORDIN, GREGORY P. · 2017 to 2023
$1.3M
NIGMS NIH HHS R15 GM123405
6 · The paper itself

Abstract

We demonstrate a hybrid "package-less" polydimethylsiloxane (PDMS)-complementary-metal-oxide-semiconductor (CMOS)-FR4 system for contact imaging. The system embeds the CMOS image sensor directly in a PDMS layer instead of the standard chip package to support microfluidic structures much larger and more complex than those in prior art. The CMOS/PDMS layer is self-aligned to form a continuous, flat surface to provide structural support for upper microfluidic layers. The system consists of five layers of PDMS implementing fluid channels, valves, chambers, and inlets/outlets. A custom CMOS image sensor with integrated signal conditioning circuits directly captures light from sample fluid for high optical collection efficiency. Owing to the flexibility afforded by the integration process, the system demonstrates, for the first time, integrated valves in contact imaging. Moreover, we present the first direct comparison of the optical performance of a CMOS image sensor and a photomultiplier tube (PMT) in identical contact-imaging conditions. Measurements show that our CMOS sensor achieves 17 dB better signal-to-noise ratio (SNR) compared to a commercial PMT across a broad range of integration times, with a maximum SNR of 47 dB. Chemiluminescent testing successfully shows signal detection for different analyte concentrations and integration times. The contact-imaging system demonstrates a detection limit of 25 μM of a 9,10-diphenylanthracene-based solution.

Indexed as

CMOS image sensorcontact imaginghybrid microfluidicintegrated valvesPDMS

Identifiers

PMID30911341
PMCPMC6430108

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.