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Stanford researchers have found a way to isolate tiny regions of tissue directly from standard glass pathology slides for downstream analysis.

Stanford researchers have developed MONTAGE, a powerful computational framework designed to identify groups of cells, called spatial communities, and map how these groups change across biological functions linked to cancer progression.

Stanford researchers developed and patented a multiplexed immunohistochemistry method called multiplexed ion beam imaging (MIBI), which uses antibodies tagged with non-biological elemental isotopes (e.g. rare earth elements) and secondary ion mass spectroscopy.

Stanford scientists have developed SPACE-seq, a novel technology that integrates spatial epigenomics and transcriptomics into a single platform.

Stanford researchers have developed a method using trained learning models to optimize synthetic DNA libraries for high-throughput molecular biology experiments.

Stanford researchers have developed a predictive biomarker for hepatocellular carcinoma (HCC) recurrence post-treatment that provides key spatial distribution information about cell interaction.

Typically, cell live imaging and cell molecular profiling are performed on two different samples without the direct observation of two modalities of information on the exact same cells.

Stanford researchers have developed a device that combines one-photon and two-photon microscopy using fast temporal multiplexing enabling 3D alignment between in vivo and ex vivo data for neuroscience and spatial biology applications.

Researchers at Stanford are developing methods for stratification of ductal carcinoma in situ (DCIS) tumors.