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93200023 Rev B Mouse Brain Tissue in 70% EtOH, Standard Slide; Mouse Brain Tissue in 70% EtOH, Large Slide Product number 10500127; 10500128

93200141 Rev A FFPE Mouse Brain Tissue, Standard Slide; FFPE Mouse Brain Tissue, Large Slide Product number 10500133; 10500134

93200130_Rev B MERSCOPE 140 Gene Panel, V 2.0; MERSCOPE 300 Gene Panel, V 2.0; MERSCOPE 500 Gene Panel, V 2.0; MERSCOPE 1000 Gene Panel, V 2.0; MERSCOPE Training A2M1620 Library, V 2.0; MERSCOPE Mouse Pan…

We unveiled groundbreaking research at the AACR Annual Meeting (April 25–30, Chicago), marking the launch of MERFISH 2.0 and ADC OmniVUE™ panels, showcasing how spatial biology is transforming our understanding of the tumor-immune microenvironment and…

Histology User Guide for Preparing FFPE Samples for Experiments on the MERSCOPE and MERSCOPE Ultra Platforms. Rev B

This user guide provides a comprehensive, step-by-step protocol for preparing sectioned tissue samples using Vizgen’s MERFISH 2.0 chemistry for high-resolution spatial transcriptomics on the MERSCOPE platform. Rev A.

Histology User Guide for Preparing Fresh and Fixed Frozen Tissue Samples for Experiments on the MERSCOPE and MERSCOPE Ultra Platforms. Rev B

Spatial biology’s next era is here with MERFISH 2.0. From Surface Structures to Subcellular Depths Detect more transcripts, more cells, and more insights.

Rev A This guide outlines site requirements for installation of a MERSCOPE Ultra Instrument.

Spatial transcriptomics is an essential application for investigating cellular structures and interactions and requires multimodal information to precisely study spatial domains. Here, we propose STAIG, a deep-learning model that integrates gene expression, spatial coordinates, and…

Imaging-based spatial transcriptomics (iST), such as MERFISH, CosMx SMI, and Xenium, quantify gene expression level across cells in space, but more importantly, they directly reveal the subcellular distribution of RNA transcripts at the single-molecule resolution….

One fundamental yet open question is how eukaryotic chromosomes fold into segregated territories, 14 a process essential for gene transcription and cell fate. Through analyzing Hi-C and chromatin15 tracing DNA-FISH data, we identify long-range chromo…

Spatial transcriptomics has emerged as a pivotal technology for profiling gene expression of cells within their spatial context. The rapid growth of publicly available spatial data presents an opportunity to further our understanding of microenvironments…

Cellular organization is central to tissue function and homeostasis, influencing development, disease progression, and therapeutic outcomes. The emergence of spatial omics technologies, including spatial transcriptomics and proteomics, has enabled the integration of molecular and histological…

Clustering can identify the natural structure that is inherent to measured data. For single-cell omics, clustering finds cells with similar molecular phenotype after which cell types are annotated. Leiden clustering is one of the algorithms…

Spatially resolved transcriptomics has made it possible to study the subcellular organization of mRNA, a critical aspect of cellular function. However, there is a dearth of analytical tools to identify and interpret the functional significance…

Spatial transcriptomics (ST) technologies have revolutionized our understanding of cellular ecosystems. However, these technologies face challenges such as sparse gene signals and limited gene detection capacities, which hinder their ability to fully capture comprehensive spatial…

Spatially resolved transcriptomics (SRT) provides an invaluable avenue for examining cell-cell interactions within native tissue environments. The development and evaluation of analytical tools for SRT data necessitate tools for generating synthetic datasets with known ground…