Evidence map›Paper›PMID 35208362›Full record

ArticleMicromachines2022

Multispectral Imaging Flow Cytometry with Spatially and Spectrally Resolving Snapshot-Mosaic Cameras for the Characterization and Classification of Bioparticles.

Paul-Gerald Dittrich, Daniel Kraus, Enrico Ehrhardt, Thomas Henkel, Gunther Notni

Abstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Paul-Gerald DittrichDepartment of Mechanical Engineering, Group for Quality Assurance and Industrial Image Processing, Technische Universität Ilmenau, Gustav-Kirchhoff-Platz 2, 98693 Ilmenau, Germany.ORCID 0000-0003-0948-9570
Daniel KrausDepartment of Nanobiophotonics, Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745 Jena, Germany.ORCID 0000-0001-7539-5260
Enrico EhrhardtGesellschaft zur Förderung von Medizin-, Bio- und Umwelttechnologien e. V., Erich-Neuß-Weg 5, 06120 Halle (Saale), Germany.
Thomas HenkelDepartment of Nanobiophotonics, Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745 Jena, Germany.
Gunther NotniDepartment of Mechanical Engineering, Group for Quality Assurance and Industrial Image Processing, Technische Universität Ilmenau, Gustav-Kirchhoff-Platz 2, 98693 Ilmenau, Germany.

Funding

Federal Ministry of Education and Research 13N14835Thüringer Aufbaubank 2018 SD 0066Thüringer Aufbaubank 2020 FGR 0049
6 · The paper itself

Abstract

In the development and optimization of biotechnological cultivation processes the continuous monitoring through the acquisition and interpretation of spectral and morphological properties of bioparticles are challenging. There is therefore a need for the parallel acquisition and interpretation of spatially and spectrally resolved measurements with which particles can be characterized and classified in-flow with high throughput. Therefore, in this paper we investigated the scientific and technological connectivity of standard imaging flow cytometry (IFC) with filter-on-chip based spatially and spectrally resolving snapshot-mosaic cameras for photonic sensing and control in a smart and innovative microfluidic device. For the investigations presented here we used the microalgae

Indexed as

cultivation optimizationfilter-on-chipimaging flow cytometrymultispectralpopulation analysissnapshot-mosaicspectral imaging

Identifiers

PMID35208362
PMCPMC8879709

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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.