HEIDSTAR at the 1st TICSSO International Single-Cell and Spatial Omics Congress, April 14–15, 2023

From April 14 to 15, 2023, the first TICSSO International Single-Cell and Spatial Omics Congress was held at the Guangzhou Huangpu International Convention Center. Under the theme "Focus on academic frontiers, accelerate technology translation", the congress had three sections: "Global single-cell frontier technology innovation", "The rising single-cell industry" and "Single-cell sequencing moving into the clinic", with in-depth discussions on the upstream, midstream and downstream of the industry chain: sequencing, services and applications. Heidstar Technology (Xiamen) Co., Ltd. was invited as an integrated equipment and service provider focused on spatial omics and digital pathology.

During the congress, HEIDSTAR held in-depth discussions with experts, scholars and entrepreneurs from around the world and shared its latest research results and technical progress in single-cell and spatial omics. The company also presented several microscope imaging products for single-cell and spatial-omics research: a spatial-omics hardware platform, a high-throughput fluorescence scanning imaging system and a fully automated high-throughput microplate imaging system.

The spatial-omics platform uses a fully automated spatial-omics imaging system developed jointly with Stanford. It has five-color fluorescence and a laser focusing system, and is compatible with the CODEX, MERFISH and STARmap technology platforms.

The high-throughput fluorescence scanning imaging system supports many fluorescent staining and fluorescent-protein labelling techniques and multi-channel imaging. It reveals cell morphology, spatial structure and interactions, and images the molecular distribution and spatial structure inside cells at high resolution, helping precision medicine enter the era of single-cell and spatial omics and supporting life sciences and clinical medicine.

HEIDSTAR will continue to increase its R&D investment in single-cell and spatial omics, providing researchers with reliable experimental data and strong technical capability for deep single-cell multi-omics analysis, together with leading multi-omics platforms and intelligent algorithm solutions for life sciences and clinical medicine.