Webinars

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

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 »

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

Leveraging the collaborative image management platform, HALO Link, for multi-site image analysis collaborations Read More »

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

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 »

THYROID MALT LYMPHOMA:  SELF-HARM TO GAIN POTENTIAL T-CELL HELP

28 October 2021 | The development of extranodal marginal zone lymphoma of mucosa-associated lymphoid tissue (MALT) is driven by chronic inflammatory responses and acquired genetic changes.  To investigate its genetic bases, we performed targeted sequencing of 93 genes in 131 MALT lymphomas including 76 from the thyroid. We found frequent deleterious mutations of TET2 (86%), CD274 (53%), TNFRSF14 (53%) and TNFAIP3 (30%) in thyroid MALT lymphoma.

THYROID MALT LYMPHOMA:  SELF-HARM TO GAIN POTENTIAL T-CELL HELP Read More »

Automated detection and quantitation of gastric immune cells in a mouse model of Helicobacter pylori­-driven preneoplastic progression

21 October 2021 | Gastric cancer is the fourth-leading cause of cancer death worldwide. About 80% of cases are attributable to infection with the bacterium Helicobacter pylori (Hp). Untreated Hp infection causes lifelong stomach inflammation that does not eradicate the bacterium. In some individuals, stomach inflammation leads to preneoplastic progression, a series of sequential tissue changes including loss of gastric acid-producing parietal cells, metaplasia, dysplasia, and finally cancer.

Automated detection and quantitation of gastric immune cells in a mouse model of Helicobacter pylori­-driven preneoplastic progression Read More »

CD38 in the Prostate Tumor Microenvironment

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

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

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).

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

Approaches to Analyzing Skin Tissue using HALO and HALO AI

6 May 2021 | Application Scientist, Natasha Carmell, will discuss and demonstrate workflow approaches for analysing skin sections stained with H&E and immunofluorescence. Using HALO AI we will identify and segment the corneal layer, epidermis, dermis, cartilage, sebaceous glands and lesions in H&E murine auricular tissues, followed by the segmentation of carcinoma from melanoma in fluorescent multiplexed Melanoma tissue. This AI based tissue segmentation will then be combined with biomarker quantification to identify CD8, CD68 and PDL1 positive populations using Highplex FL.

Approaches to Analyzing Skin Tissue using HALO and HALO AI Read More »

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