Latest App Notes & Case Studies

Developed for performance in human serum and plasma, the SomaScan Assay v4.1 can measure approximately 7,000 unique human protein analytes in small volumes of biological samples.

Inherited metabolic disorders (IMDs) are a vast and complex group of rare genetic diseases presenting throughout a patient’s life span.

Data silos, lack of interoperability and the preservation of patient privacy all present challenges to the global sharing of genomic data.

Identifying a respiratory viral infection can be challenging with different families of viruses being indistinguishable during the acute phase of illness, despite the outcome and long-term prognosis of the infection being different. The ability to diagnose a respiratory virus at the initial stage of infection can result in more effective treatment for the patient.

When it comes to cancer, diagnosis often relies on tissue biopsy in conjunction with medical imaging. In addition to sometimes being inconclusive, tissue biopsies are associated with risks, high costs and inconvenience for patients, making them ill-suited for screening or tracking disease progression.

Download this article to learn about a next-generation sequencing technology that integrates genetic and biochemical testing as well as can efficiently diagnose more than 180 metabolic diseases.

Download this app note to discover a schematic overview of a flow cytometry analysis, benchtop protocols for surface staining in flow cytometry
plus examples of flow cytometry data.

Download this app note to learn more about the key considerations for the use of novel molecular diagnostics such as ensuring supply and integrity of raw materials and preparing for commercial success.

To successfully use these models across a variety of research disciplines and applications, approaches that reduce variability and technology pipelines to image and quantify these complex cell models are required.

Download this application focus to learn more about the solutions available to optimize the sensitivity of viral detection.