15 September 2020 | 7:00 – 9:00 PDT | 10:00 – 12:00 EDT | 15:00 – 17:00 BST
In this webinar, you’ll learn about the importance of multiplex biomarker analysis including how advances in multiplexed immunofluorescent imaging and analysis can reveal biological and spatial information.
High Dimensional Spatial Biology: from Discovery to High Throughput Studies Read More »
29 July 2020 | 8:00 PDT | 11:00 EDT | 16:00 BST – Biological interactions between functionally distinct immune and tumor cell populations can either promote or inhibit tumor growth. In this 75-minute webinar, we will hear from two research teams who have identified novel prognostic signatures using different spatial analysis and machine learning approaches to measure tumor-immune cell interactions within the tumor immune microenvironment (TIME).
16 June 2020 | In this webinar, Indica Labs’ HALO AP Product Manager, Eric Runde, will discuss these capabilities and the nationwide deployment of HALO AP for quantitative IHC testing for breast cancer and colorectal cancer panels at NeoGenomics. Dr. Sally Agersborg, Medical Director at NeoGenomics, will discuss considerations when selecting an image analysis platform and approaches to validation of image analysis for a multi-site laboratory.
8-11 June 2020 | In lieu of our scheduled onsite user group meetings, Indica Labs is pleased to announce our 2020 US Virtual HALO User Group Meeting. To make participation easier for our US audience, we will break down the user groups into four one-hour webinars over three days starting at 9 AM PDT/12 PM EDT.
19-21 May 2020 | In lieu of our scheduled onsite user group meetings, Indica Labs is pleased to announce our 2020 European Virtual HALO User Group Meeting. To make participation more convenient for our European audience, we are breaking the user group into three one-hour webinars over three days, 19-21st May, starting at 11 AM GMT each day.
Virtual European User Group Meeting Read More »
23 April 2020 | In this free webinar, attendees will learn about how AI-guided technologies can be used to quantify digital pathology images. Presenters will discuss different deployment models for AI in pathology and how to identify projects that will benefit from AI. Four practical-use cases for AI in drug discovery and safety assessment will also be presented.
Summer of 2020 Indica Labs is excited to introduce our new HALO® Masterclass Webinar Series. Each masterclass webinar will offer a deep dive into a specific module or capability within our HALO, HALO AI, HALO Link or HALO AP platforms, presented by our expert team of application scientists who train and support our customer base worldwide.
HALO® IMAGE ANALYSIS MASTERCLASS WEBINAR SERIES 2020 Read More »
27 April 2020 | In lieu of our participation in the now cancelled 2020 AACR Conference, Indica Labs are pleased to bring you webinar presentations from two of our esteemed customers in oncology research and drug discovery, David Krull from GlaxoSmithKline and Dr. David Reiss from Bristol Meyers Squibb, who will present on April 27th and 28th, respectively. Please join us to hear about how Indica Labs image analysis software and pharma services are being used within their organizations to advance oncology drug development.
The Use of Image Fusing in the Deployment of a 7-plex Immunofluorescent Assay Read More »
28 April 2020 | In lieu of our participation in the now cancelled 2020 AACR Conference, Indica Labs are pleased to bring you webinar presentations from two of our esteemed customers in oncology research and drug discovery, David Krull from GlaxoSmithKline and Dr. David Reiss from Bristol Meyers Squibb, who will present on April 27th and 28th, respectively. Please join us to hear about how Indica Labs image analysis software and pharma services are being used within their organizations to advance oncology drug development.
4 March 2020 | In this webinar, researchers and pathologists from the University of New Mexico will discuss their recently published study using the HALO AI deep learning convolutional neural network to detect and classify different types of gastric injury.
Using Deep Learning to Recognize Common Patterns of Injury in Gastric Pathology Read More »
