Fluidigm is a Molecular and Single Cell Biology company that creates microfluidic-based chips and instrumentation for Life-Science research.
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Recent publication of in-vivo two-photon intravital imaging study targeting mouse kidney
May 22, 2023
In vivo longitudinal 920 nm two-photon intravital kidney imaging of a dynamic 2,8-DHA crystal
formation and...
Webinar: Multimodal tissue imaging and machine learning to advance precision medicine
May 17, 2023
Join us for this webinar to learn how the Orion spatial biology imaging platform was used to identify prognostic...
May 5, 2023
Decision to improve the output in a lab is always taken based on knowledge and workflow needs. But final decision to...
Real-Time and Quantitative Analysis of Macrophage Phagocytosis with RTCA eSight
May 4, 2023
The eSight is currently the only instrument that interrogates cell health and behavior using cellular
impedance...
Revolutionize your Flow Cytometry and Sorting workflow with Cytek Biosciences
May 3, 2023
Using full spectrum flow cytometry, Cytek systems ( RUO and CE-IVD) detect the entire fluorochrome emission, allowing...
A deep learning and Monte Carlo based framework for bioluminescence imaging center Maastro
Apr 20, 2023
"In this paper,we developed a framework using deep learning for bioluminescence-based targeting for GBM animal...
Gentle sorting of microbial cells and sub-micron particles using WOLF sorter
Apr 18, 2023
While most modern applications of flow cytometry may focus on cells of eukaryotic origin, the first flow analyzers were...
Design and analysis of single-cell sequencing experiments
Apr 21, 2016
Recent advances in single-cell sequencing hold great potential for exploring biological systems
with unprecedented resolution. Sequencing the genome of individual cells can reveal somatic mutations
and allows the investigation of clonal dynamics. Single-cell transcriptome sequencing can
elucidate the cell type composition of a sample. However, single-cell sequencing comes with major
technical challenges and yields complex data output. In this Primer, we provide an overview of
available methods and discuss experimental design and single-cell data analysis. We hope that
these guidelines will enable a growing number of researchers to leverage the power of single-cell
sequencing.
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