This immersive webinar offers an exclusive glimpse into the groundbreaking technologies shaping the laboratories of tomorrow. Delve into the dynamic fusion of cutting-edge technology and scientific exploration as our visionary experts unveil revolutionary laboratory setups.

Accurate and precise measurement of pharmaceutical drugs in complex matrices can be challenging due to the presence of matrix contaminants. To ensure the highest levels of accuracy and precision, it is imperative to use highly robust analytical techniques. Triple quadrupole mass spectrometers are widely used in quantitative bioanalysis because of their stable analytical performance over an extended period. Here, exceptional sensitivity and stability were demonstrated to support bioanalytical workflows in high-throughput laboratories.

Join expert speakers, Dr. Christopher Mason of Weill Cornell Medicine, and Dr. Michael Roberts of Auburn University, for an enlightening discussion on the profound impacts of spaceflight on human biology and the unique molecular signatures of aging influenced by resistance training.

This webinar will focus on using spatial biology approaches to understand the role of human γδ T cell subtypes in cancer, illustrating how to assess this subset in their tissue microenvironments at high resolution.

Key advances will be highlighted across the field of immuno-oncology. Hear a cross-section of experts discuss their research with a focus on basic research and a broad range of established and novel immunotherapeutics.

The liver is the most common metastatic site for many primary tumors. Single-cell gene and protein expression, in combination with spatial data that contextualizes relationships with other tumor cells and structures, are critical to fully understand how cells communicate in liver metastases.
Resolving the precise spatial location of each single cell allows for a comprehensive understanding of the tissue architecture for each tumor and helps identify critical cell–cell communication circuits.
This webinar will highlight approaches to generating a spatial atlas of tumors, illustrate how to integrate single-cell transcriptomics data with spatial data and explore how to track cell behavior to study cell–cell interactions in each cellular neighborhood.