Evidence map›Paper›PMID 28921124›Full record

ArticleAnalytical and bioanalytical chemistry2017

Droplet volume variability as a critical factor for accuracy of absolute quantification using droplet digital PCR.

Alexandra Bogožalec Košir, Carla Divieto, Jernej Pavšič, Stefano Pavarelli, David Dobnik, Tanja Dreo, Roberto Bellotti, Maria Paola Sassi, Jana Žel

Open access · hybridAbstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

35 citing papers in PubMed, 94 citations in OpenAlex.

  1. Article
  2. Droplet Digital CRISPR for Nucleic Acid Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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  13. Article
  14. Body Map of Droplet Distributions During Oropharyngeal Suction to Protect Health Care Workers From Airborne Diseases.Journal of perianesthesia nursing : official journal of the American Society of PeriAnesthesia Nurses · 2023
    Review
  15. Article
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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

9 authors at 2 institutions in 2 countries.

Alexandra Bogožalec KoširDepartment of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, 1000, Ljubljana, Slovenia. alexandra.bogozalec@nib.si.
Carla DivietoInstituto Nazionale di Ricerca Metrologica, Strada delle Cacce, 91-10135, Turin, Italy.
Jernej PavšičDepartment of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, 1000, Ljubljana, Slovenia.
Stefano PavarelliInstituto Nazionale di Ricerca Metrologica, Strada delle Cacce, 91-10135, Turin, Italy.
David DobnikDepartment of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, 1000, Ljubljana, Slovenia.
Tanja DreoDepartment of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, 1000, Ljubljana, Slovenia.
Roberto BellottiInstituto Nazionale di Ricerca Metrologica, Strada delle Cacce, 91-10135, Turin, Italy.
Maria Paola SassiInstituto Nazionale di Ricerca Metrologica, Strada delle Cacce, 91-10135, Turin, Italy.
Jana ŽelDepartment of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, 1000, Ljubljana, Slovenia.
National Institute of Biology · SIIstituto Nazionale di Ricerca Metrologica · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate and precise nucleic-acid quantification is crucial for clinical and diagnostic decisions, as overestimation or underestimation can lead to misguided treatment of a disease or incorrect labelling of the products. Digital PCR is one of the best tools for absolute nucleic-acid copy-number determination. However, digital PCR needs to be well characterised in terms of accuracy and sources of uncertainty. With droplet digital PCR, discrepancies between the droplet volume assigned by the manufacturer and measured by independent laboratories have already been shown in previous studies. In the present study, we report on the results of an inter-laboratory comparison of different methods for droplet volume determination that is based on optical microscopy imaging and is traceable to the International System of Units. This comparison was conducted on the same DNA material, with the examination of the influence of parameters such as droplet generators, supermixes, operators, inter-cartridge and intra-cartridge variability, and droplet measuring protocol. The mean droplet volume was measured using a QX200™ AutoDG™ Droplet Digital™ PCR system and two QX100™ Droplet Digital™ PCR systems. The data show significant volume differences between these two systems, as well as significant differences in volume when different supermixes are used. We also show that both of these droplet generator systems produce droplets with significantly lower droplet volumes (13.1%, 15.9%, respectively) than stated by the manufacturer and previously measured by other laboratories. This indicates that to ensure precise quantification, the droplet volumes should be assessed for each system.

Indexed as

Analysis of VarianceDNAImage Processing, Computer-AssistedMicroscopyOptical ImagingPolymerase Chain ReactionSample SizeSoftwareDNADNA quantificationDroplet digital PCRDroplet volumeOptical microscopy imaging

Identifiers

PMID28921124
PMCPMC5670190
OpenAlexW2755272141

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.