Webinar Category: Phenolmager (Phenoptics)

R&D Sneak Peek | Opal Multiplex and Simulated H&E on The Same Tissue Section

In today’s clinical research laboratories, available tissue samples are both smaller in size and more in demand for a variety of assays to help researchers make informed decisions and spatial discoveries. The very cornerstone of tissue histopathology – the H&E stain – is the first crucial step to help map out the morphological landscape. Here, Akoya Biosciences describes a technique in which a tissue sample is stained with a modified H&E stain prior to the application of an Opal Multiplex assay on the same slide, as a screening tool and efficient and effective way to maximize your precious samples.

T.I.M.E and Space to Predict Response in Immuno-Oncology

In this talk, Dr. Alexander “Sandy” Borowsky will share preliminary results of an ongoing biomarker discovery study on breast cancer cohorts, including those participating in the I-SPY 2 trial, and how the in situ analysis of the tumor microenvironment is critical to understanding immunotherapy response. The I-SPY 2 trial: Neoadjuvant and Personalized Adaptive Novel Agents to Treat Breast Cancer was launched by UCSF in collaboration with a private-public partnership to improve efficiency of breast cancer clinical trials and streamline the development of new drugs. Breast cancers, overall, infrequently respond to immunotherapy. And immunotherapies, which harness the immune system to fight cancer, are being used in the early high-risk treatment setting. However, individual tumors show dramatic variation in patterns of the tumor immune microenvironment (TIME) with both immune “cold” and inflamed phenotypes. We hypothesized that the TIME pattern might predict responses to immunotherapy and/or prognosis/outcomes. We examined the TIME of high-risk invasive breast cancer and high-risk non-invasive ductal carcinoma in situ (DCIS), hypothesizing that immune evasion might be one of the critical steps in progression of DCIS to invasive carcinoma. Leveraging current clinical trials, we have performed gene expression analyses (bulk) and multiplexed-immunohistochemistry (mIHC). We have optimized two 7-color assay panels using the Opal detection and artificial intelligence-assisted image analysis to provide specific cell segmented assignment of location and applied proximity analyses for cell-cell interaction assessment. These data show distinct differences in the TIME and reveal predictions of early response.

Comprehensive Opal Multiplex Validation: From Staining to Digital Image Analysis

Optimisation and validation of a multiplex immunofluorescence workflow, from staining to digital image analysis, ensures assay robustness and prepares this technology for deployment in clinical trial analysis and in routine diagnostics. Amélie Viratham, from Queen’s University Belfast, describes how she used the Opal Automation IHC kit and Vectra Polaris to develop two complementary multiplex immunofluorescence panels to evaluate the tumour immune microenvironment in colorectal cancer formalin-fixed paraffin-embedded tissue.

Astronomy Meets Pathology: An interdisciplinary effort to discover predictive biomarker signatures for immuno-oncology

An innovative platform, called AstroPath, has been developed to analyze large multiplex immunofluorescence (mIF) datasets using celestial object–mapping algorithms to rapidly identify optimized predictive phenotypic signatures. In this webinar, Dr. Janis Taube and Dr. Alexander S. Szalay from Johns Hopkins describe how the AstroPath technology was conceived and developed, share successes applying AstroPath to answering questions about tumor microenvironment-immune system interactions, and provide preliminary results of comparisons across different institutions to assess mIF assay performance.

European User Group Meeting 2020 | Biomarker Research Focus

This session covered how researchers are using spatial biology to uncover new biological insights as well as the latest innovations from Akoya and how they will impact your work. This video from the webinar, contains a review of the Akoya platforms and how they are used in spatial biology and a customer talk on how they have used Akoya’s platforms in their work on human lung tuberculosis granulomas. A high-level review of selected publications with a focus on how the Akoya platforms can be used on studies beyond immuno-oncology is included.

The Tumor Neighborhood Watch: How Spatial Architecture and Cellular Neighborhoods Correlate to Colorectal Cancer Outcomes

Dr. Garry Nolan and his team at Stanford University collaborated with the University of Bern to conduct deep single-cell phenotyping and spatial analysis on a cohort of colorectal cancer formalin-fixed, paraffin-embedded samples using the CODEX. In this webinar, Dr. Nolan discusses the findings from the study and presents an analytical framework to analyze high-dimensional imaging data that can reveal new insights into how the tumor microenvironment is organized.

European User Group Meeting 2020 | Immuno-Oncology Research Focus

This session covered how researchers are using spatial biology to uncover new biological insights as well as the latest innovations from Akoya and how they will impact your work. This video includes both customer talks on how they have used Akoya’s platforms in their immune-oncology work and a high-level discussion of the impact of spatial biology on current research and its promise for future work.

Showcase for Neuroscientists

Neuroscience forum with Akoya’s neuroscientists Agnes Haggerty, PhD, Technical Applications Scientist, Najiba Mammadova, PhD, Reagent Sales Specialist and Oliver Braubach, PhD, Senior Manager Applications. Discussions on how multispectral analysis can impact neuroscience research by studying the spatial relationships between cells and tissue types using a large number of biomarkers simultaneously and how the Akoya platform mitigates the confounding effects of autofluorescence. A closer review of how to use the Opal staining platform to study any biomarker and how the CODEX platform can support ultra-high plex analysis with 25 or more biomarkers at once.

Proxima: Collaboration at the Speed of You

Proxima™, The Spatial Biology Platform™ enables rapid image acquisition and secure data sharing in the cloud with immediate access from anywhere for geographically distributed and remote teams, including those working from home during the COVID-19 pandemic. Learn more about how Proxima will improve the efficiency of your research in this webinar.