Evidence map›Paper›PMID 29677144›Full record

ReviewSensors (Basel, Switzerland)2018

dPCR: A Technology Review.

Phenix-Lan Quan, Martin Sauzade, Eric Brouzes

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 290 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
290citing papers in PubMed, 1 pooled it
–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

290 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Can Digital PCR Enhance the Detection ofPathogens (Basel, Switzerland) · 2026
    Article
  5. Nanoplate Digital PCR for Identification of αInternational journal of molecular sciences · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Biomaterials for biomarker imaging and detection.Journal of advanced research · 2026
    Review
  18. Review
  19. Review
  20. Article

230 more citing papers are in PubMed but not listed here.

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

3 authors.

Phenix-Lan QuanDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA. phuong-lan.quan@stonybrook.edu.
Martin SauzadeDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA. martin.sauzade@gmail.com.
Eric BrouzesDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA. eric.brouzes@stonybrook.edu.ORCID 0000-0002-8102-0729

Funding

Multiparameter single-cell genomics platform for personalized treatment of cancerR01CA181595 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI BROUZES, ERIC · 2014 to 2018
$2.7M
NCI NIH HHS R01 CA181595
6 · The paper itself

Abstract

Digital Polymerase Chain Reaction (dPCR) is a novel method for the absolute quantification of target nucleic acids. Quantification by dPCR hinges on the fact that the random distribution of molecules in many partitions follows a Poisson distribution. Each partition acts as an individual PCR microreactor and partitions containing amplified target sequences are detected by fluorescence. The proportion of PCR-positive partitions suffices to determine the concentration of the target sequence without a need for calibration. Advances in microfluidics enabled the current revolution of digital quantification by providing efficient partitioning methods. In this review, we compare the fundamental concepts behind the quantification of nucleic acids by dPCR and quantitative real-time PCR (qPCR). We detail the underlying statistics of dPCR and explain how it defines its precision and performance metrics. We review the different microfluidic digital PCR formats, present their underlying physical principles, and analyze the technological evolution of dPCR platforms. We present the novel multiplexing strategies enabled by dPCR and examine how isothermal amplification could be an alternative to PCR in digital assays. Finally, we determine whether the theoretical advantages of dPCR over qPCR hold true by perusing studies that directly compare assays implemented with both methods.

Indexed as

absolute quantificationarrays of microwellsdigital PCRdPCRdroplet microfluidicsmicrofluidic chambersmicrofluidicsmicrofluidic technologieson-chip valvespartitioningqPCRquantitative real-time PCRreal-time PCR

Identifiers

PMID29677144
PMCPMC5948698

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.