Evidence map›Paper›PMID 31057898›Full record

ArticleMicrosystems & nanoengineering2018

Integrating impedance-based growth-rate monitoring into a microfluidic cell culture platform for live-cell microscopy.

Ketki Chawla, Sebastian C Bürgel, Gregor W Schmidt, Hans-Michael Kaltenbach, Fabian Rudolf, Olivier Frey, Andreas Hierlemann

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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

7 authors.

Ketki ChawlaETH Zurich, Department of Biosystems Science and Engineering, Bio Engineering Laboratory, Basel, Switzerland.
Sebastian C BürgelETH Zurich, Department of Biosystems Science and Engineering, Bio Engineering Laboratory, Basel, Switzerland.ORCID 0000-0002-5088-3636
Gregor W SchmidtETH Zurich, Department of Biosystems Science and Engineering, Bio Engineering Laboratory, Basel, Switzerland.
Hans-Michael KaltenbachETH Zurich, Department of Biosystems Science and Engineering, Computational Systems Biology Group, Basel, Switzerland.
Fabian RudolfETH Zurich, Department of Biosystems Science and Engineering, Computational Systems Biology Group, Basel, Switzerland.
Olivier FreyETH Zurich, Department of Biosystems Science and Engineering, Bio Engineering Laboratory, Basel, Switzerland.
Andreas HierlemannETH Zurich, Department of Biosystems Science and Engineering, Bio Engineering Laboratory, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growth rate is a widely studied parameter for various cell-based biological studies. Growth rates of cell populations can be monitored in chemostats and micro-chemostats, where nutrients are continuously replenished. Here, we present an integrated microfluidic platform that enables long-term culturing of non-adherent cells as well as parallel and mutually independent continuous monitoring of (i) growth rates of cells by means of impedance measurements and of (ii) specific other cellular events by means of high-resolution optical or fluorescence microscopy. Yeast colonies were grown in a monolayer under culturing pads, which enabled high-resolution microscopy, as all cells were in the same focal plane. Upon cell growth and division, cells leaving the culturing area passed over a pair of electrodes and were counted through impedance measurements. The impedance data could then be used to directly determine the growth rates of the cells in the culturing area. The integration of multiple culturing chambers with sensing electrodes enabled multiplexed long-term monitoring of growth rates of different yeast strains in parallel. As a demonstration, we modulated the growth rates of engineered yeast strains using calcium. The results indicated that impedance measurements provide a label-free readout method to continuously monitor the changes in the growth rates of the cells without compromising high-resolution optical imaging of single cells.

Identifiers

PMID31057898
PMCPMC6220194

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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.