September 15-16
Boston, USA
Hilton Boston Logan
Reproducibility. Scalability. Proven multi-omics automation.
Meet our scientists at booth #15 to discover the only spatial biology solution which does not require any upstream conjugation or barcoding. Its unique microfluidic technology provides users with high assay reproducibility and scalability, allowing them to move fast from biomarker discovery to translational research.
Lunaphore’s COMET™ is the first to demonstrate the feasibility of full workflow automation for single-cell, multi-omics analysis on the same tissue slide.
Want to know more about our spatial biology solutions? Send us a message and secure a meeting with the team.
Lunaphore is proud to sponsor data dissemination for its customers and collaborators. At the Spatial Biology US Conference, the scientific discussion contribution will come from novel data generated by Dr. Markus Herrmann on the COMET mIF platform.
Join this talk to discover more on:
- Interactive visualization and computational analysis of high-dimensional immunofluorescence slide microscopy imaging data for cancer research and for the development of molecular cancer diagnostics.
- Combination of human expert annotation, machine learning-based computer vision, and spatial statistics for quantitative single-cell analysis to describe and model patterns of immune cell infiltrates and interactions between individual cells in spatial tissue context.
- Discovery and development of quantitative tissue imaging biomarkers for molecularly targeted therapy and immunotherapy.
The Spatial Biology US conference brings together spatial experts, researchers and scientists for participating in focused discussions, workshops and give presentations that mirror the current challenges and future opportunities of the spatial biology market.
Lunaphore will contribute to the scientific discussion with the dissemination of novel data generated by Dr. Markus Herrmann on the COMET™ mIF platform. Details of the presentation are accessible below.
Congress agenda and registrations are accessible here.
Highlight
Customer presentation
16 September 2022
9:30 EST
Join this talk to discover more on:
- Interactive visualization and computational analysis of high-dimensional immunofluorescence slide microscopy imaging data for cancer research and molecular cancer diagnostics
- Combination of human expert annotation, machine learning-based computer vision, and spatial statistics for quantitative single-cell analysis to describe and model patterns of immune cell infiltrates and interactions between individual cells in spatial tissue context
- Discovery and development of quantitative tissue imaging biomarkers for molecularly targeted therapy and immunotherapy