Evidence map›Paper›PMID 30862101›Full record

ArticleSensors (Basel, Switzerland)2019

Continuous Live-Cell Culture Imaging and Single-Cell Tracking by Computational Lensfree LED Microscopy.

Gregor Scholz, Shinta Mariana, Agus Budi Dharmawan, Iqbal Syamsu, Philipp Hörmann, Carsten Reuse, Jana Hartmann, Karsten Hiller, Joan Daniel Prades, Hutomo Suryo Wasisto and 1 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

12 citing papers in PubMed, 27 citations in OpenAlex.

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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

11 authors at 4 institutions in 3 countries.

Gregor ScholzInstitute of Semiconductor Technology (IHT), Technische Universität Braunschweig, 38106 Braunschweig, Germany. gregor.scholz@tu-braunschweig.de.ORCID 0000-0002-1576-4287
Shinta MarianaInstitute of Semiconductor Technology (IHT), Technische Universität Braunschweig, 38106 Braunschweig, Germany. s.mariana@tu-braunschweig.de.ORCID 0000-0002-4945-6178
Agus Budi DharmawanInstitute of Semiconductor Technology (IHT), Technische Universität Braunschweig, 38106 Braunschweig, Germany. a.dharmawan@tu-braunschweig.de.
Iqbal SyamsuInstitute of Semiconductor Technology (IHT), Technische Universität Braunschweig, 38106 Braunschweig, Germany. i.syamsu@tu-braunschweig.de.
Philipp HörmannInstitute for Biochemistry, Biotechnology and Bioinformatics, Technische Universität Braunschweig, 38106 Braunschweig, Germany. p.hoermann@tu-braunschweig.de.
Carsten ReuseInstitute for Biochemistry, Biotechnology and Bioinformatics, Technische Universität Braunschweig, 38106 Braunschweig, Germany. c.reuse@tu-braunschweig.de.
Jana HartmannInstitute of Semiconductor Technology (IHT), Technische Universität Braunschweig, 38106 Braunschweig, Germany. jana.hartmann@tu-braunschweig.de.
Karsten HillerInstitute for Biochemistry, Biotechnology and Bioinformatics, Technische Universität Braunschweig, 38106 Braunschweig, Germany. karsten.hiller@tu-braunschweig.de.
Joan Daniel PradesMIND-IN²UB, Department of Electronic and Biomedical Engineering, University of Barcelona, 08028 Barcelona, Spain. dprades@el.ub.edu.ORCID 0000-0001-7055-5499
Hutomo Suryo WasistoInstitute of Semiconductor Technology (IHT), Technische Universität Braunschweig, 38106 Braunschweig, Germany. h.wasisto@tu-braunschweig.de.ORCID 0000-0002-4522-3625
Andreas WaagInstitute of Semiconductor Technology (IHT), Technische Universität Braunschweig, 38106 Braunschweig, Germany. a.waag@tu-braunschweig.de.
Technische Universität Braunschweig · DEIndonesian Institute of Sciences · IDTarumanagara University · IDUniversitat de Barcelona · ES

Funding

Horizon 2020 Framework Programme 737089Niedersächsisches Ministerium für Wissenschaft und Kultur LENA-Optosense Quantum- and Nanometrology (QUANOMET)Seventh Framework Programme 336917
6 · The paper itself

Abstract

Continuous cell culture monitoring as a way of investigating growth, proliferation, and kinetics of biological experiments is in high demand. However, commercially available solutions are typically expensive and large in size. Digital inline-holographic microscopes (DIHM) can provide a cost-effective alternative to conventional microscopes, bridging the gap towards live-cell culture imaging. In this work, a DIHM is built from inexpensive components and applied to different cell cultures. The images are reconstructed by computational methods and the data are analyzed with particle detection and tracking methods. Counting of cells as well as movement tracking of living cells is demonstrated, showing the feasibility of using a field-portable DIHM for basic cell culture investigation and bringing about the potential to deeply understand cell motility.

Indexed as

Cell Culture TechniquesCell TrackingHolographyHumansMicroscopycell countingcell culturecell imagingComplementary Metal-Oxide Semiconductor (CMOS) image sensorLEDlensless holographic microscopy

Identifiers

PMID30862101
PMCPMC6427468
OpenAlexW2921191408

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.