HALO AI

Optimizing quantitative analysis of highly multiplexed CODEX images in HALO

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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 »

Tumor-specific tumor-resident cytotoxic T cells predict recurrence in stage III melanoma patients treated with adjuvant immunotherapy

Events, HALO, HALO AI, HALO Modules, Highplex FL, News, Past Webinars, Spatial Analysis, Webinars / , , , ,

20 January 2022 | In this 60-minute webinar, learn how HALO and HALO AI collaborate to perform tissue and cell segmentation, quantification of T-cell subsets in tumor regions, and spatial analysis .

Tumor-specific tumor-resident cytotoxic T cells predict recurrence in stage III melanoma patients treated with adjuvant immunotherapy Read More »

A Deep Learning Convolutional Neural Network Can Differentiate Between Helicobacter Pylori Gastritis and Autoimmune Gastritis with Results Comparable to Gastrointestinal Pathologists

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13 January 2022 | In this 60-minute 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 (CNN) to determine whether a CNN can differentiate autoimmune gastritis from Helicobacter pylori gastritis.

A Deep Learning Convolutional Neural Network Can Differentiate Between Helicobacter Pylori Gastritis and Autoimmune Gastritis with Results Comparable to Gastrointestinal Pathologists Read More »

Bench-to-Bedside Transition of Novel HALO® Assays into Clinical Trials with HALO AP®

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10 December 2021 | In this 1-hour webinar, featured speakers will demonstrate end-to-end how to develop a quantitative assay in HALO and transition it into clinical trials using HALO AP.

Bench-to-Bedside Transition of Novel HALO® Assays into Clinical Trials with HALO AP® Read More »

2021 Masterclass: Deep Dive into AI-Based Nuclear Segmentation and Phenotyping Part II

Events, HALO, HALO AI, HALO Modules, Highplex FL, Masterclasses, News, Past Webinars, Spatial Analysis, Webinars / , , , ,

04 November 2021 | Following up on our HALO 3.2 Masterclass: Deep Dive into AI-based Nuclear Segmentation and Phenotyping, in this Masterclass webinar with HALO 3.3, we will further delve into options for AI-based nuclear segmentation and phenotyping.

2021 Masterclass: Deep Dive into AI-Based Nuclear Segmentation and Phenotyping Part II Read More »

CD38 in the Prostate Tumor Microenvironment

Events, HALO, HALO AI, HALO Modules, Highplex FL, News, Past Webinars, Serial Section Analysis, Webinars / , , , ,

6 October 2021 | CD38, a druggable ectoenzyme, is involved in the generation of adenosine, which is implicated in tumor immune evasion. Its expression and role in prostate tumor-infiltrating immune cells (TIICs) have not been elucidated.

CD38 in the Prostate Tumor Microenvironment Read More »

Spatial Biology: Revolutionizing Tissue Imaging and Analysis Using Spatial profiling

Events, HALO, HALO AI, HALO Modules, Multiplex IHC, News, Past Webinars, Spatial Analysis, Tissue Classifier, Webinars / , , , , ,

23 September 2021 | DigiBase invites you to attend a Spatial Biology webinar symposium to learn from experts in the field on how digital pathology, high-dimensional multiplexing, spatial and AI analytic tools, and spatial transcriptomic technologies are advancing tissue imaging and analysis.

Spatial Biology: Revolutionizing Tissue Imaging and Analysis Using Spatial profiling Read More »

Automated Detection and Gleason Grading of Prostate Cancer in Digital Pathology

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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

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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).

Automated detection and classification of prognostic histopathological features in colorectal cancer using deep learning Read More »

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