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Stanford University Flow Cytometry Shared Resource
Stanford University Flow Cytometry Shared Resource is listed as an academic core research supplier in the Scientist.com network, with 1 site in 1 country and 1 service area.
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Services
What this research supplier says it provides, as listed in the Scientist.com network.
Type of company: Academic core
Where it operates
Sites by country, with the cities in each.
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United States 1 site
About this supplier
In the supplier's own words, as listed in the Scientist.com network.
Stanford University Flow Cytometry Shared Resource provides cell analysis and cell sorting services for cancer research in the Stanford community. The mission of the Flow Cytometry Shared Resource is to (1) promote cancer research and training for cell-based assays at the highest level of quality and rigor; (2) bring new developments in instrumentation, technique and analysis for preclinical use in the Stanford research community; and (3) support early clinical trial analysis in patient management. The Flow Cytometry Shared Resource enhances the productivity and effectiveness of research...
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Stanford University Flow Cytometry Shared Resource provides cell analysis and cell sorting services for cancer research in the Stanford community.
The mission of the Flow Cytometry Shared Resource is to
(1) promote cancer research and training for cell-based assays at the highest level of quality and rigor;
(2) bring new developments in instrumentation, technique and analysis for preclinical use in the Stanford research community; and
(3) support early clinical trial analysis in patient management.
The Flow Cytometry Shared Resource enhances the productivity and effectiveness of research by promoting high-content data acquisition, ensuring the highest data quality and consistency, carrying out efficient cell sorting, providing reliable data management, educating and training researchers and consulting in experiment design and evaluation.
Major applications of flow cytometry services include DNA content analysis for tumor biology, immunological characterization of lymphoma cells, stem and immune cell sorting, isolation of key cell population in tumors and definition cell signaling cascades for tumor classification.
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