HALO AP seamlessly integrates with a wide selection of AI and image analysis innovations, LIS | LIMS, and diverse software platforms, offering unparalleled flexibility for your clinical workflow.
Integrating Innovation: HALO AP® as an AI Orchestration Platform for Digital Pathology Read More »
18 April 2024 | In this 1-hour webinar learn about SlideQC BF 3.0, an AI-based image quality control network that detects and segments most common artifacts including air bubbles, debris, folds, out of focus regions, and pen marker in both hematoxylin and eosin (H&E) and immunohistochemistry (IHC) images.
AI-based Slide Quality Control Workflows for Life Science and Clinical Applications Read More »
Lung Macrodissect AI identifies and highlights non-small cell lung cancer cells present on whole slide images to guide annotations for downstream automated slide macrodissection.
19 March 2024 | Please join us for this 1-hour webinar to learn about the latest features supporting macrodissection workflows
HALO AP® 2.3 and Lung Macrodissect AI Sneak Peek Read More »
Indica Labs is pleased to announce our Frankfurt HALO® User Group Meeting at Hyatt Place Frankfurt Airport Hotel on 13 March from 12:00 – 18:00.
Indica Labs’ Frankfurt HALO® User Group Meeting Read More »
As we welcome the new year and look back on 2023, the Indica Labs team wants to extend our heartfelt thanks to our customers and collaborators. We feel privileged to have been a part of our customers’ impactful contributions in the lab and clinic, and it is thrilling to hear of their successes improving patient care as well as our understanding and treatment of disease.
Looking Back: Reviewing 2023 at Indica Labs Read More »
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 »
