AutoNorm Flips the Script on Library Amplification

The Old Way

Set amplification cycles,
DNA concentration follows (sort of)

Setup

Estimate optimal amplification cycles.

Outcome

Concentration varies widely, resulting in dropout, overamplification, and the need for additional normalization

The icon way

Set target concentration, cycle # follows

Setup

Set target concentration.

Outcome

Samples are consistent and auto-optimized, no manual normalization needed.

How it Works

First, we built a better box

Each well of the icon instrument features an individual, miniaturized thermocycler with real-time temperature monitoring.

Then, we made it smart

AutoNorm™ intelligent software automates cycle control by monitoring concentration in real time using fluorescence, and placing each well on a cold hold at just the right time.

Impact

Simpler Workflow

“iconPCR is key to improving our NGS workflows — eliminating QC and normalization while preventing over amplification”

Dr. Anja Mezger,
SciLifeLab

60% Reduction in hand-on time

Built-in normalization collapses three PCR runs and dozens of QC steps into a single, automated plate.

99% Faster QC

Treat 96 libraries as one: clean once (SPRI cleanup), quantify once (Qubit quant), then sequence.

Lower Costs

“By incorporating iconPCR, we can remove several QC steps that are pretty expensive… Having the opportunity to do the normalization removes that cost as well.”

Kerry Hair, Senior Research Technologist at Huck Institute, SciLifeLab

0 Manual normalization

Running samples as they are and pooling immediately after amplification dramatically reduces labor costs.

50% Reduction in cost

AutoNorm-enabled sample pooling will cut library prep spend for amplicon sequencing in half while improving data quality.

Cost Savings Calculator

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Sequencing savings result from fewer PCR duplicates, reduced unmapped reads, and lower artifacts such as chimeras—outcomes of avoiding over-amplification with AutoNorm on iconPCR. Because fewer reads are unusable, more samples can be loaded per run, lowering the per-sample sequencing cost. In addition, the reduction in “garbage” reads means you don’t have to oversequence just to hit minimum usable read thresholds.

Your Projected savings using AutoNorm

$
$41,201.50
Estimated monthly savings
$494,418.00
Total yearly savings
3 Months
Time to breakeven

Better Data

“We really do think this is an instrument that every Genomics Core should want to have… PCR is your enemy, and this is your best weapon against running too many PCR cycles, and I think we’ll just see improved data quality coming out of reducing the number of PCR cycles before you go into sequencing.”

Stefan Green, Director of RUSH Genomics and Microbiome Core Facility

4X Fewer chimeras

In library prep for 16s metagenomic sequencing, iconPCR produced 400% less chimeras, resulting in more usable reads and a truer view of complex microbial communities.

9 Fewer PCR cycles

In full-length 16s sequencing, AutoNormalization with iconPCR entered a cold hold up to 9 cycles earlier (average), resulting in fewer artifacts.

Normalization of degraded FFPE samples

Simplified workflows, while maintaining the quality of the single-cell gene expression data

No loss of data quality in single-cell experiments

Reduction in cycle number vs protocol recommendations to prevent overamplification

AutoNorm prevents amplification inRNA-seq applications

Optimal data quality avoiding dimers and unmapped reads

Yield is normalized despite input amount

AutoNorm optimized both cDNA amplification and index PCR reactions

RNA type distribution consistent with AutoNorm

All samples amplify consistently and correctly, regardless of input

More species detected when amplified correctly

Taxonomic depth enhanced with AutoNorm

Consistent amplification acrossvariable inputs

Retained data quality but improved workflows