Researchers in the Herzenberg laboratory at Stanford University have patented a method to quantify antigens during flow cytometry without the use of calibrators.
Inventors at Stanford developed a method to leverage mass cytometry, a type of flow cytometry utilizing mass spectrometry, for the detection of heavy metals in leukocytes from individuals exposed to heavy metals in elevated air pollution.
Researchers in Dr. Holden Maecker's lab have developed platinum-labeled probes to expand the analytical capacity of mass cytometry instruments. Currently, analytical capacity is limited by the ability to label specific probes with appropriate metal ions.
Researchers at Stanford have developed a non-invasive method, based on the identification of novel immune signatures in the blood, for diagnosing Crohn's disease (CD) or ulcerative colitis (UC) in patients with inflammatory bowel disease (IBD).
Dr. Guillem Pratx and colleagues have developed a high-throughput single cell scintillation counting system that can sort cells on the basis of uptake of a small radiolabeled molecule.
This nanoparticle platform for electric field detection is the first inorganic platform to use both intensity and spectro-ratiometric (relative color change) readout for the determination of local electric fields in vitro, in vivo, and in situ.
Engineers in Prof. Amin Arababian's laboratory have developed a microfluidics system for ultra high-throughput, low-cost, label-free cell detection in liquid biopsies, fetal cell analysis and other applications.
High-grade serous ovarian cancer (HG-SOC) is the most lethal gynecologic malignancy, in large part because most patients present with late-stage disease and receive the same therapeutic regimen despite significant heterogeneity in disease and clinical response.
The technologies described in this patent address a critically important deficit in the statistical methods available to enable comparison of outcomes measured by flow cytometry or similar, data intensive technologies.
Stanford researchers have developed a statistical algorithm termed Single Cell Linkage Using Distance Elimination (SLIDE) to analyze large-scale data sets without reducing their dimensionality, including those generated by single-cell mass cytometry.
Stanford researchers in the Khuri-Yakub Ultrasonics Group have developed a powerful new bio-sensor platform technology for a highly sensitive non-invasive detection of molecules and particles, suitable for various types of point of care diagnostic tests.
Compressed sensing has revolutionized signal acquisition by enabling high dimensional signals to be measured with remarkable fidelity using a small number of so-called incoherent sensors.
GateFinder is a flexible, automated, objective algorithm that quickly analyzes complex mass cytometry datasets to identify simple signatures (“gates”) for FACS (fluorescent automated cell sorting) purification.
Researchers in Dr. Leonore Herzenberg's lab at Stanford have developed this technology and another (see Stanford Docket S15-009) to improve the ease and accuracy of flow cytometry experiments.
Researchers in Dr. Leonore Herzenberg's lab at Stanford University have developed a portfolio of data management, storage, and analysis technologies that may be used for large data sets.