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Curiox webinar: Laminar Wash enables single-cell multiomics and cell hashing

Curiox

Oct 11, 2021

Professor Mats Bemark’s lab at the University of Gothenburg in Sweden studies how the immune system responds to...

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Magnetic Resonance (MR) is more than just analytical science, it is unique, it is a passion that won’t let you go

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Cell morphology reveals valuable insight into cell health and status, and considerable heterogeneity exists in even the...

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Sartorius Unveils LIVECell, a Deep-Learning Dataset for Label-Free, Quantitative Cell Segmentation in Nature Methods.

Oct 24, 2021

Meet ACCELA at International Conference Analytical Cytometry 2021

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Meet us at International Conference Analytical Cytometry 2021. ACCELA will be present as...

The roles of preclinical optical imaging in cancer research

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Watch the last Spectral Instrument Imaging webinar with Dr. Michael Henry who will shares key data sets from his work...

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Introducing WOLF G2 - Benchtop microfluidic cell sorter

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The new WOLF G2 instrument has significantly expanded the capabilities of gentle benchtop microfluidic cell sorting...

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The new ThunderBolts myeloid NGS panel: A translational laboratory experience

Oct 26, 2016

Targeted next-generation sequencing has become a critical tool for the interrogation of genomic events in myeloid malignancies. In this webinar, Dr. Eric Padron of the Moffitt Cancer Center, discussed his experience using the RainDance ThunderBolts Myeloid panel focusing on his experience with the library preparation and sequencing results on the MiSeq instrument. This presentation was given from the perspective of a translational laboratory rather than that of a large genomics core or commercial enterprise.

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Regina Fillerová

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RainDance Technologies

RainDance company’s ultra-sensitive genomic tools enable research of novel non-invasive liquid biopsy applications that should result in more accurate, reliable, cost-effective, and early detection of cancer and other inherited and infectious diseases.

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A fast, accurate and low-cost NGS target enrichment system that features award-winning instrumentation and pre-validated gene panels, as well as flexible open source options.

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