Evidence map›Paper›PMID 29939166›Full record

ArticleJournal of visualized experiments : JoVE2018

Characterization of Aquatic Biofilms with Flow Cytometry.

Linn Sgier, Stephanie N Merbt, Ahmed Tlili, Alexandra Kroll, Anze Zupanic

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Linn SgierDepartment of Environmental Toxicology, Eawag - Swiss Federal Institute for Aquatic Science and Technology.
Stephanie N MerbtDepartment of Environmental Toxicology, Eawag - Swiss Federal Institute for Aquatic Science and Technology.
Ahmed TliliDepartment of Environmental Toxicology, Eawag - Swiss Federal Institute for Aquatic Science and Technology.
Alexandra KrollDepartment of Environmental Toxicology, Eawag - Swiss Federal Institute for Aquatic Science and Technology.
Anze ZupanicDepartment of Environmental Toxicology, Eawag - Swiss Federal Institute for Aquatic Science and Technology; Anze.Zupanic@eawag.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofilms are dynamic consortia of microorganism that play a key role in freshwater ecosystems. By changing their community structure, biofilms respond quickly to environmental changes and can be thus used as indicators of water quality. Currently, biofilm assessment is mostly based on integrative and functional endpoints, such as photosynthetic or respiratory activity, which do not provide information on the biofilm community structure. Flow cytometry and computational visualization offer an alternative, sensitive, and easy-to-use method for assessment of the community composition, particularly of the photoautotrophic part of freshwater biofilms. It requires only basic sample preparation, after which the entire sample is run through the flow cytometer. The single-cell optical and fluorescent information is used for computational visualization and biological interpretation. Its main advantages over other methods are the speed of analysis and the high-information-content nature. Flow cytometry provides information on several cellular and biofilm traits in a single measurement: particle size, density, pigment content, abiotic content in the biofilm, and coarse taxonomic information. However, it does not provide information on biofilm composition on the species level. We see high potential in the use of the method for environmental monitoring of aquatic ecosystems and as an initial biofilm evaluation step that informs downstream detailed investigations by complementary and more detailed methods.

Indexed as

BiofilmsEnvironmental MonitoringFlow CytometryWater Pollutants, ChemicalWater Pollutants, Chemical

Identifiers

PMID29939166
PMCPMC6101579

What OpenQuestion holds

Textmetadata
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.