China User Group Meeting
18 October 2023
China User Group Meeting Read More »
HALO Link
Building Web-Based Automation and Custom Features Using Python and the GraphQL API of HALO®
21 September 2023 | This presentation will illustrate a suite of tools developed by our group utilizing the GraphQL framework to streamline existing workflows within Novartis and begin to integrate pathology-based tools from across the organization into the HALO environment.
HALO® User Group Meeting: Expanding the Boundaries of Digital Pathology Through AI and Integrations
4 May 2023 | Indica Labs is pleased to announce our Boston HALO® User Group Meeting at Le Méridien Boston Cambridge on May 4 from 1 pm – 6 pm.
HALO AP® and HALO Link: Selecting the Right Image Management Platform for Your Lab or Clinic
11 April 2023 | Learn how to select an image management platform from Indica Labs and learn about available deployment and integration options .
Masterclass Webinar: Deep Dive into Admin and Metadata Options in HALO Link
30 June 2022 | In this 60-min webinar, Learn how to customize your HALO Link deployment utilizing the system administration options and leverage metadata fields for data integrity.
Masterclass Webinar: Deep Dive into Admin and Metadata Options in HALO Link Read More »
HALO Link Masterclass Webinar: Making the Most out of a Collaborative Image Database
2 June 2022 | In this 60-min webinar, Learn to maximize utility of the HALO Link collaborative image management platform
HALO Link Masterclass Webinar: Making the Most out of a Collaborative Image Database Read More »
Optimizing quantitative analysis of highly multiplexed CODEX images in HALO
31 March 2022 | In this webinar, Dr. Noemi Kedei, a staff scientist at the Collaborative Protein Technology Resource core of the Center for Cancer Research (CCR) at the National Cancer Institute, will present a comprehensive CODEX workflow, from image acquisition to image processing and HALO image analysis. Dr. Kedei leads the core facility that provides this technology as service to CCR investigators, including project consultation and design, antibody panel customization, tissue staining and imaging, image processing, and data management. Since Dr. Kedei and team were an early adopter of the CODEX platform, they have acquired deep expertise in CODEX, having imaged hundreds of mouse and human fresh frozen and FFPE tissues in support of multiple NCI/CCR projects.
Optimizing quantitative analysis of highly multiplexed CODEX images in HALO Read More »
Leveraging the collaborative image management platform, HALO Link, for multi-site image analysis collaborations
03 December 2021 | In this webinar you will learn how the Pharma Services team at Indica Labs uses HALO Link to collaborate with customers, to launch and display image analysis results, and to archive studies
Automated Detection and Gleason Grading of Prostate Cancer in Digital Pathology
8 September 2021 | Digital pathology provides an advantage of automatizing many routine pathological tasks via computational algorithms and tools. The reporting of prostate cases is time-consuming due to a large number of slides per case. Moreover, tumor aggressivity grading (Gleason score) is well known for its subjective nature and high levels of interobserver variability. In this webinar, we will demonstrate a deep learning-based tool developed for the detection of prostate cancer in histological slides (prostate biopsies and prostatectomy specimens) and its histological grading (Gleason grading). We will present the results of the actual validation study showing high levels of accuracy in both tasks. We will discuss the practical aspects of the implementation of such tools in the diagnostic routine.
Automated Detection and Gleason Grading of Prostate Cancer in Digital Pathology Read More »
Automated detection and classification of prognostic histopathological features in colorectal cancer using deep learning
9 June 2021 | Deep learning can be applied to both clinical and research based digital pathology. Doing so can bring multiple advantages to both fields. In this talk, Dr. Peter Caie and Dr. Ines Nearchou we will discuss these advantages and describe a specific proof of principle that applies AI to the quantification of an important histopathological feature in colorectal cancer, desmoplastic reaction (DR).