Evidence map›Paper›PMID 36741754›Full record

ArticleFrontiers in bioengineering and biotechnology2023

PLATERO: A calibration protocol for plate reader green fluorescence measurements.

Alba González-Cebrián, Joan Borràs-Ferrís, Yadira Boada, Alejandro Vignoni, Alberto Ferrer, Jesús Picó

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Room-temperature mL-to-μL quantitative liquid concentration device for cyclone flow.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024
    Article
  3. Parsley: a web app for parsing data from plate readers.Bioinformatics (Oxford, England) · 2023
    Article
  4. 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

6 authors.

Alba González-CebriánMultivariate Statistical Engineering Group, Department of Applied Statistics and O.R. and Quality, Universitat Politècnica de València, València, Spain.
Joan Borràs-FerrísMultivariate Statistical Engineering Group, Department of Applied Statistics and O.R. and Quality, Universitat Politècnica de València, València, Spain.
Yadira BoadaSynthetic Biology and Biosystems Control Lab, Instituto de Automática e Informática Industrial, Universitat Politècnica de València, València, Spain.
Alejandro VignoniSynthetic Biology and Biosystems Control Lab, Instituto de Automática e Informática Industrial, Universitat Politècnica de València, València, Spain.
Alberto FerrerMultivariate Statistical Engineering Group, Department of Applied Statistics and O.R. and Quality, Universitat Politècnica de València, València, Spain.
Jesús PicóSynthetic Biology and Biosystems Control Lab, Instituto de Automática e Informática Industrial, Universitat Politècnica de València, València, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most common sources of information in Synthetic Biology is the data coming from plate reader fluorescence measurements. These experiments provide a measure of the light emitted by a certain fluorescent molecule, such as the Green Fluorescent Protein (GFP). However, these measurements are generally expressed in arbitrary units and are affected by the measurement device gain. This limits the range of measurements in a single experiment and hampers the comparison of results among experiments. In this work, we describe PLATERO, a calibration protocol to express fluorescence measures in concentration units of a reference fluorophore. The protocol removes the gain effect of the measurement device on the acquired data. In addition, the fluorescence intensity values are transformed into units of concentration using a Fluorescein calibration model. Both steps are expressed in a single mathematical expression that returns normalized, gain-independent, and comparable data, even if the acquisition was done at different device gain levels. Most important, the PLATERO embeds a Linearity and Bias Analysis that provides an assessment of the uncertainty of the model estimations, and a Reproducibility and Repeatability analysis that evaluates the sources of variability originating from the measurements and the equipment. All the functions used to build the model, exploit it with new data, and perform the uncertainty and variability assessment are available in an open access repository.

Indexed as

fluorescence measurementsmeasurement data standardizationmeasurement system analysisplate readerunits conversion model

Identifiers

PMID36741754
PMCPMC9895789

What OpenQuestion holds

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LicenceCC BY
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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.