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Xenium In Situ: High-Performance In Situ From the Single-Cell Leader
The Xenium difference: Revealing the previously unseen
Xenium In Situ combines the power of single molecule RNA detection with powerful optics, data acquisition, and decoding technology to rapidly detect 100s–1,000s of RNA targets at subcellular resolution across entire fresh frozen or FFPE tissue sections. This powerful combination enables cell typing and localization in functional biological context while also providing new insights into cellular communication.
Xenium In Situ combines the power of single molecule RNA detection with powerful optics, data acquisition, and decoding technology to rapidly detect 100s–1,000s of RNA targets at subcellular resolution across entire fresh frozen or FFPE tissue sections. This powerful combination enables cell typing and localization in functional biological context while also providing new insights into cellular communication.
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VIA Extractor™ Tissue Disaggregator
Recent technological advancements have made single-cell multi omics (genomics, proteomics, metabolomics) an increasingly powerful tool for diagnosis, treatment response prediction and treatment selection for cancer. The process begins with disaggregation of a fresh or frozen sample into a single-cell suspension, followed by preparation of a single-cell next-generation sequencing (NGS) library, then data analysis. Find out more...
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PhenoImager HT
The PhenoImager HT is the premier and most highly cited digital pathology imager for spatial phenotyping. Featuring whole-slide multispectral scanning, this system can be easily integrated into high-throughput workflows that need to accommodate for scalability.
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PhenoImager Fusion
The PhenoImager™ Fusion system enables whole-slide, multispectral imaging (MSI) at single-cell resolution at unprecedented speed and is ideal for standard throughput, high-plex applications.
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PhenoCycler-Fusion System
Scale Your Discovery Studies with the Fastest Single-Cell Spatial Biology Solution
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Potentiating CD16-Activated ADCC in CAR-NK Cell Therapy
Sino Biological has developed a panel of quality proteins and antibodies for CD16 and accompanying molecules to support CAR-NK cell therapy research.
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Rare Quantifiable Data Becomes Your Every Day With SCIEX ZenoTOF 7600 System
The ZenoTOF 7600 system will especially transform your research by enabling you to:
> Characterize large molecules including post-translational modifications
> Elucidate positional isomers on small molecules and lipids
> Identify and quantify proteins and peptides at unparalleled speed
> Gain significant sensitivity and discover less abundant ions
> Characterize large molecules including post-translational modifications
> Elucidate positional isomers on small molecules and lipids
> Identify and quantify proteins and peptides at unparalleled speed
> Gain significant sensitivity and discover less abundant ions
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Growth Factors for the Culture of Lung and Digestive System Organoids
Generating robust organoids for the lung and gastrointestinal system to recapitulate the complex organ environment remains challenging. Quality growth factors (GFs), such as EGF, FGFs, Noggin, BMP, and RSPO1, are essential in this process. FGF10, HGF, and KGF/FGF7 have been shown to synergistically promote the formation of bronchioalveolar and alveolar organoids. FGF2 and IGF-1 also enhance intestinal organoid plating.
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Xenium In Situ
Ductal carcinoma in situ (DCIS), cancer cell growth that starts in the milk ducts, is the most common form of breast cancer. However, why some DCIS progress to invasive carcinoma but others remain innocuous is still unclear. In a recent study, three groundbreaking technologies—Chromium Single Cell, Visium Spatial, and Xenium In Situ—were used to achieve a deeper understanding into the biology of a single, breast cancer patient-derived, FFPE tissue block.
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Visium Spatial Gene Expression: Map Transcriptomes Within Tissue Context
With tools like Visium Spatial Gene Expression, researchers can access a multidimensional profile of the biology of a complex tissue section, measuring and mapping spatial gene expression while maintaining a clear view of the morphological context of the tissue.
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