dPCRDigital PCR Services for Precise, Absolute Nucleic Acid Quantification
Detect low-abundance targets, measure copy number and quantify DNA or RNA with partition-based digital PCR. SCD supports assay feasibility, tailored method development, validation and sample testing for discovery studies and drug development programs.
GLP accredited by SWEDAC.
Trusted By
Quality assurance & compliance
We are accredited for Good Laboratory Practice (GLP) by the Swedish Board for Accreditation and Conformity Assessment (SWEDAC) for qPCR, dPCR, and molecular biology.
About dPCR
Digital PCR at SCD
When a small molecular signal matters, choosing the right measurement approach is critical. Digital PCR (dPCR) separates a sample into thousands of individual reactions and counts target-positive and target-negative partitions to calculate nucleic acid concentration. This approach offers absolute quantification without routinely relying on a conventional standard curve and can be especially useful for rare targets, subtle copy-number differences and challenging sample matrices.
At SCD, our Gothenburg-based molecular bioanalysis specialists work with customers to establish dPCR methods suited to the analyte, specimen and decision the results must support. Services range from exploratory assay assessment to documented validation and testing within an agreed quality framework.
Specifications
dPCR Specifications & Technical Capabilities
The precise assay range, sample requirements and regulatory scope are established during project scoping.
| Technology | Partition-based digital Polymerase Chain Reaction (dPCR) |
|---|---|
| Measurement | Absolute target quantification based on positive/negative partition counts and statistical correction |
| Analytes | DNA and RNA targets; RNA analysis requires an appropriate reverse-transcription workflow |
| Typical applications | Vector copy number, rare-variant detection, cfDNA analysis, biomarker measurement and residual nucleic acid testing |
| Sample inputs | Extracted nucleic acids from tissues, biofluids and other matrices, subject to feasibility assessment |
| Assay formats | Targeted singleplex and multiplex assays |
| Assay development | Target selection, primer/probe evaluation, partition optimization and matrix assessment |
| Quality assessment | Specificity, precision, sensitivity, quantifiable range, inhibition, , as appropriate |
| Platform / throughput | Platform, partition format and sample capacity to be confirmed with the Gothenburg laboratory |
| Quality framework | Research, qualified or validated workflows; GLP/GCLP applicability assessed for each study |
| Outputs | Target concentration and supporting QC/analysis documentation; validation reports |
Assay development
Custom dPCR Assay Development & Validation
Reliable digital measurements begin well before a sample enters the instrument. We assess the target sequence, sample matrix and expected abundance to determine whether dPCR can answer the research or bioanalytical question with the necessary confidence.
- Assay feasibility: evaluate target accessibility, background signal, expected concentration and suitable controls.
- Primer and probe optimization: establish specific target discrimination and robust positive/negative partition separation.
- Sample preparation: evaluate extraction recovery, nucleic acid integrity and potential matrix inhibition.
- Analytical performance: characterize precision and accuracy specificity, sensitivity limit, quantifiable range and robustness according to intended use.
- Method qualification or validation: document predefined acceptance criteria and reporting requirements appropriate to the project.
Need a custom-developed or validated molecular assay? Explore Method Development & Validation.
Quality control
Quality Control for Trustworthy dPCR Results
Digital PCR removes dependence on calibration curves for absolute-quantification measurements, but it does not remove experimental variability. Sample preparation, partition formation, assay specificity and data interpretation all influence the result. SCD applies controls selected for the assay and its intended use.
- Extraction and process controls to assess sample recovery and workflow performance where relevant.
- No-template and other negative controls to identify contamination or nonspecific signal.
- Positive controls and reference materials to verify target detection and assay behavior.
- Partition-quality and occupancy checks to assess valid reaction counts, saturation and separation of positive and negative populations.
- Replicates and Quality-Control samples to assess variability, inhibition and run suitability against predefined criteria.
- Instrument, reagent and sample-stability checks in accordance with the agreed quality system.
For regulated or validated studies, the applicable QC limits, acceptance criteria and reporting practices are established in the study-specific method; they should not be assumed to be universal across dPCR assays.
dPCR workflow
From Study Question to Quantitative Results
assay design
reporting
Step 1
1. Define the analytical objective
We review the biological target, sample origin, number of specimens, expected target abundance, required reporting units and study stage.
Step 2
2. Establish feasibility and assay design
Our scientists evaluate extraction requirements, partition strategy, primer/probe design, control materials and whether dPCR is the most suitable method.
Step 3
3. Generate and review measurements
Samples are processed using the agreed procedure. Partition data, control outcomes and assay-specific acceptance criteria are assessed before results are accepted.
Step 4
4. Deliver results and interpretation context
We provide quantitative findings together with the agreed QC information, methodology and, where applicable, qualification or validation documentation.
Applications
Where Digital PCR Adds Value
- Cell and gene therapy: quantify vector genomes, assess vector copy number and support biodistribution or shedding studies where appropriate.
- Liquid biopsy and cfDNA: investigate low-abundance molecular targets in cell-free DNA, subject to assay sensitivity and matrix suitability.
- Biomarker research: measure selected DNA or RNA markers and track molecular changes across sample sets.
- Copy-number studies: resolve differences in target abundance relative to suitable reference loci.
- Residual nucleic acid testing: support targeted measurements of process-related or other residual DNA where the method is fit for purpose.
- RNA therapeutics: develop target-specific assays for relevant RNA species using an appropriate RT-dPCR workflow.
Our expertise
dPCR Expertise Rooted in Gothenburg
Formerly TATAA Biocenter
SCD’s digital PCR services are supported by our laboratories in Gothenburg, Sweden, formerly operating as TATAA Biocenter, now TATAA, an SCD company. The team brings established expertise in molecular assay development, measurement quality, and validation into SCD’s broader discovery-to-validation offering.
Scientists from TATAA contributed to the original MIQE guidelines for qPCR and to the digital PCR reporting recommendations known as dMIQE. These publications emphasize transparent experimental design, adequate controls and reproducible reporting. In 2024, TATAA also contributed to an industry-authored AAPS publication on developing and validating qPCR and dPCR assays for cell and gene therapy drug development.
Together with SCD’s sequencing, single-cell, and spatial capabilities in the Netherlands, this expertise helps customers connect exploratory molecular findings with focused quantitative follow-up studies. The regulatory framework and accredited scope are confirmed for each project.
~20,000
Droplets per reaction
96
Samples per plate
0
Conventional standard curves needed
How it works
How Does Digital PCR Work?
In dPCR, a prepared reaction mixture is distributed across a large number of small partitions. Following amplification, each partition is classified as positive or negative for the target. The fraction of positive partitions is used with a statistical model, commonly based on Poisson distribution, to estimate how many target molecules were present in the starting reaction.
Because the result is derived from partition counts, dPCR can report absolute concentration without constructing a conventional calibration curve for every assay. Accurate interpretation still requires attention to partition volume, target occupancy, sample dilution, assay specificity and the uncertainty of the measurement.
Comparison
qPCR vs. dPCR: Which Technology Fits Your Study?
| qPCR | Measures fluorescence during amplification and uses Cq values; commonly supports relative expression analysis and standard-curve-based absolute quantification. |
|---|---|
| dPCR | Counts target-positive partitions after amplification to estimate absolute concentration; useful when precise copy-number measurement or low-abundance target detection is important. |
| Choosing between them | Consider target abundance, required sensitivity, precision, throughput, cost, sample matrix and the intended regulatory use. Neither approach is universally superior. |
Comparing approaches? Explore our qPCR Services or speak with our scientists about the right analytical strategy.
Wondering if this service can
help answer your biological question?
Request a quote today and find out how our expertise can support your research.
What our clients say
"The service of Single Cell Discoveries guarantees a smooth process between customer and company. In case of problems or questions, the scientists reacted competently and immediately, so that answers could be found quickly and flexibly."
"Fantastic job made by a really professional and friendly team. I strongly recommend Single Cell Discoveries for sequencing services."
Recent publications using dPCR
No publications in this category. Perhaps searching can help.
Case studies
Immune Profiling of atherosclerosis reveals new therapeutic potential
A team of scientists uses 10x Genomics Single Cell Immune Profiling to characterize T cells in the atherosclerotic plaque. Their results redefine atherosclerosis as an autoimmune disease.
Mechanism of disease: a new hypothesis for atherosclerosis
To elucidate atherosclerosis’ mechanism of disease, Sheffield University researchers analyzed the transcriptomes of single endothelial cells.
Drug Discovery
for Precancerous Liver Disease
Here’s the story of how SORT-seq helped advance a novel drug candidate for liver cancer into clinical trials.
Recent blogs related to dPCR
Linearity, Co-linearity, Robustness, Ruggedness and Stability in qPCR and dPCR Validation
Part 4 of the PCR Assay Validation Guide — The Final Chapter This post concludes SCD’s PCR Assay Validation Guide. In Part 1 we introduced the principles of assay development,…
Gene set enrichment analysis: From Genes to Biological Processes
Gene set enrichment analysis (GSEA) helps translate gene-level expression changes into broader biological processes. It starts with a ranked list of all tested genes, usually based on a signed statistic…
Sensitivity and Specificity in Regulated Bioanalytical Assay Validation
Part 3 of the PCR Assay Validation Guide This post continues the PCR Assay Validation Guide. In Part 1 we introduced the principles of development, qualification and validation and the…
Frequently Asked Questions
Not typically for absolute quantification: target concentration is estimated from the proportion of positive partitions. Reference materials, controls and verification of measurement performance are still essential.
It can offer advantages for some low-abundance or small-difference measurements, but sensitivity depends on the assay, sample input, matrix, number of partitions and analysis conditions. A feasibility assessment is the best way to determine which approach is suitable.
Potentially. Target-specific assay design, sufficient input molecules, background noise and the required variant allele fraction determine whether a particular application is feasible.
Yes. We can assess feasibility and support assay design, optimization, qualification or validation according to the target and project requirements.
dPCR can be used for vector-related target quantification and copy-number studies. Sample preparation, reference targets and the definition of the measurand must be established for the intended application.
Yes, with a suitable reverse-transcription step before or as part of the digital PCR workflow. RNA integrity and RT optimization must be considered in assay design and interpretation.
Projects may be performed within an appropriate regulated quality framework where the relevant laboratory capabilities and scope permit. Confirm the applicable requirements, assay status and documentation needs with our team.
Share your target or research question, sample type, approximate sample count, expected concentration or rarity, study phase, desired deliverables and any quality or regulatory requirements.
qPCR may be well suited to routine expression comparisons and larger sample sets; dPCR may be preferable for certain absolute-copy-number or rare-target questions. Our scientists can evaluate both against your specific study requirements.
Request a quote
Discuss Your Digital PCR Project
Whether you are developing a new assay or need targeted quantification for an ongoing program, our molecular biology specialists can help define the right measurement strategy. Tell us about your analyte, samples and study objectives, and we will discuss feasibility, method requirements and next steps.