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Dec 19, 2018

Microangiopathy with subsequent organ damage represents a major complication in several diseases. The mechanisms...

The need for ultra high field magnetic resonance imaging

Dec 17, 2018

MRI is a noninvasive imaging technology that is known for its superior soft tissue contrast and ability to provide...

NovoCyte Quanteon webinar: In-depth cell Proliferation through new advances in flow cytometry

Dec 11, 2018

Cell proliferation is one of the most fundamental biological processes in biology. Many of the traditional assays to...

Live-cell labeling of endogenous proteins with nanometer precision by transduced nanobodies

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Accurate labeling of endogenous proteins for advanced light microscopy in living cells remains challenging. Nanobodies...

Dec 19, 2018

Webinar: early detection of metabolic remodeling in pressure overload left ventricle Hypertrophy

Nov 28, 2018

Do you already heard the hypothesis that metabolic changes in the heart may precede and even trigger structural and...

Bioflux webinar: Blockade of CD62L inhibits CLL cell interaction with vascular endothelium

Nov 22, 2018

CD62L (L-selectin) is a key adhesion molecule that promotes cell tethering and rolling along the vascular endothelium...

Squaraine fluorophore as a NIR-fluorescent probe for the in vivo detection of diagnostic enzymes

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An oligo(ethylene glycol)-functionalized squaraine fluorophore has been developed as an NIR-fluorescent probe that can...

Dec 19, 2018

IncuCyte neuronal activity assay

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The generation and maturation of neuronal networks are necessary characteristics of neurogenesis, providing...

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Analysis of single-cell transcriptomes in colorectal cancer

Feb 21, 2017

Scientists performed an unbiased analysis of functional diversity in colorectal cancer cells and their microenvironment using RNA-seq profiling of over 1,500 unsorted single cells from 11 primary tumors and matched normal mucosa (NM). To robustly interpret single-cell transcriptomes, we developed novel algorithms for normalizing expression estimates (pQ), clustering cells (RCA) and identifying differentially expressed genes (NODES). RCA identified 6 major cell types and multiple subtypes within colorectal samples.

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