Products & ReviewLab Automation

nCounter® Technology

The nCounter ® platform provides a simple and cost effective solution for multiplex analysis of up to 800 RNA, DNA, or protein targets from your precious samples.

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Bruker Spatial Biology

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Average Rating 5.0

|4Scientists have reviewed this product

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Highly recommended

 

Average Rating 5.0

Application Area:

miRNA

I am a long term nCounter user, and it is easy to use, produces solid data, and is versatile for various studies.

Review Date: 9 Sept 2024 | Bruker Spatial Biology

Great results

 

Average Rating 5.0

Application Area:

Drug discovery

Ncounter allows the identification of gene expresion, the cost and efficiency are very good, and is an easy use.

Review Date: 23 Jan 2023 | Bruker Spatial Biology

We were able to do targeted gene expression from precious archival patient samples.

 

Average Rating 5.0

Application Area:

Assay targeted gene expression in archival patient samples

Due to the fragmentation introduced by FFPE fixation, RNA extracted from archival material could not be used for RNA-seq. Hence, we decided to use Nanostring's target gene analysis panel to rescue these batches of patient samples that have decades of clinical follow-up.

Review Date: 14 May 2021 | Bruker Spatial Biology

Excellent for targeted gene expression from precious samples.

 

Average Rating 5.0

Application Area:

Analyze targeted expression of genes

This is excellent product to measure the gene transcripts directly and works on RNA RIN <7 which cannot be used for RNA-Seq.

Review Date: 6 Mar 2020 | Bruker Spatial Biology

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Expertly curated pre-formatted panels for human, mouse and non-human primate
~ 15-minutes total hands-on time with no amplification, cDNA conversion or library prep required
Sample to Publication ready figures in ~24 hours

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Combine RNA, DNA, and protein panels for a comprehensive 3D Biology™ view of each sample
Optimized performance on difficult sample types including FFPE, tissue, lysates and biofluid samples

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Advanced analysis tools included with system reduce the need for Bioinformatics support

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