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An interview with Anas Gauba, Software Engineer (Previous Intern)

Blogs, Interviews, News /

Q1. As an intern, what projects were you assigned to work on? What skills did you acquire or improve while working on these projects?
A1. As an intern, I worked on the project to build quota-system where the customer can buy some quota whether it be quota for doing analysis, disk storage, etc. I also worked on building a loginAttempt feature where we can track important information such as customers’ ip address and which service they logged in from. The projects helped me in getting better at being able to design domain models, how middle-wares can work and how to hook up to GraphQL.

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An interview with Dylan Balata, Software Engineer (Previous Intern)

Blogs, Interviews, News /

Q1. As an intern, what projects were you assigned to work on? What skills did you acquire or improve while working on these projects?
A1. As an intern I worked on developing ASP.NET Core based infrastructure solutions utilizing https/web socket technology while incorporating native and db interactions.
Q2. What do you enjoy most about working at Indica Labs?

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Automated Detection and Gleason Grading of Prostate Cancer in Digital Pathology

Events, HALO, HALO AI, HALO Clinical AI, HALO Link, News, Past Webinars, Webinars / , , ,

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.

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Press Release: Nottingham University Hospitals NHS Trust selects Indica Labs to deliver their Digital Pathology Solution with HALO AP

HALO AP, News, Press Releases

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.

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Press Release: Indica Labs and Ibex Partner to Deliver AI-powered Clinical Workflows for Digital Pathology

News, Press Releases

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.

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

Events, HALO, HALO AI, HALO Link, News, Past Webinars, Webinars / , ,

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).

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Approaches to Analyzing Skin Tissue using HALO and HALO AI

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

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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