An Interview with Adam Smith, Director of Life Science Applications, North America and Australasia
An Interview with Adam Smith, Director of Life Science Applications, North America and Australasia
News
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 »
Press Release: Nottingham University Hospitals NHS Trust selects Indica Labs to deliver their Digital Pathology Solution with HALO AP
Albuquerque, NM, USA and Nottingham, UK, 1 July, 2021 – Following a formal tender process, Nottingham University Hospitals (NUH) NHS Trust today announced the selection of Indica Labs to aid in full digitisation of the pathology workflow. Indica Labs will deliver its leading digital pathology software, HALO AP®, fully integrated with existing hospital systems, alongside multiple Hamamatsu Nanozoomer scanners.
Press Release: Indica Labs and Ibex Partner to Deliver AI-powered Clinical Workflows for Digital Pathology
ALBUQUERQUE, NM and TEL AVIV, Israel – May 20, 2021 – Indica Labs, an industry leader in quantitative digital pathology & image management solutions, and Ibex Medical Analytics, a pioneer in artificial intelligence (AI) based cancer diagnostics, announced an agreement to integrate the Galen™ AI-based cancer diagnostics platform into the HALO AP® digital pathology workflow platform.
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).
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 »
Tips & Tricks: Batch Processing Productivity Tools
29 April 2021 | Batch processing workflows can be a significant time saver for HALO image analysis. In this masterclass, US Application Scientist Michael Tomac will cover six different batch process workflows available in HALO, including:
Tips & Tricks: Batch Processing Productivity Tools Read More »
USCAP 2021 Abstracts
Check out these USCAP 2021 abstracts to learn about the exciting work our customers are doing with HALO, HALO AI, HALO Link, and our Pharma Services group.
USCAP 2021 Abstracts Read More »
Comparison of stain co-localization in IHC sequential cuts and true co-expression in mIF images from Polaris
8 April 2021 | The webinar will cover a workflow for performing stain co-localization analysis in sequential IHC cuts through color deconvolution, slide registration, and cell-type classification, including export using registered coordinates. The resulting co-localization output will be compared and contrasted to true co-expression on a single slide using mIF techniques (Polaris).
HALO Image Analysis Masterclass Series: Indica Labs Tech Toolbox Webinar
1 April 2021 | The Indica Labs software products have a number of additional tools to extend the utility of our products beyond the HALO user interface most users are familiar with. These tools allow users to query the underlying database for metadata imported to HALO Link, integrate with LIMS, plugin convolutional neural networks not available in HALO, write analysis modules from scratch, and more.
HALO Image Analysis Masterclass Series: Indica Labs Tech Toolbox Webinar Read More »