Danielle Guerrero

The Use of Image Fusing in the Deployment of a 7-plex Immunofluorescent Assay

27 April 2020 | In lieu of our participation in the now cancelled 2020 AACR Conference, Indica Labs are pleased to bring you webinar presentations from two of our esteemed customers in oncology research and drug discovery, David Krull from GlaxoSmithKline and Dr. David Reiss from Bristol Meyers Squibb, who will present on April 27th and 28th, respectively.   Please join us to hear about how Indica Labs image analysis software and pharma services are being used within their organizations to advance oncology drug development.

The Use of Image Fusing in the Deployment of a 7-plex Immunofluorescent Assay Read More »

Spatial Organization of Immune Cells in the Pancreatic Ductal Adenocarcinoma (PDAC) Tumor Microenvironment

28 April 2020 | In lieu of our participation in the now cancelled 2020 AACR Conference, Indica Labs are pleased to bring you webinar presentations from two of our esteemed customers in oncology research and drug discovery, David Krull from GlaxoSmithKline and Dr. David Reiss from Bristol Meyers Squibb, who will present on April 27th and 28th, respectively.   Please join us to hear about how Indica Labs image analysis software and pharma services are being used within their organizations to advance oncology drug development.

Spatial Organization of Immune Cells in the Pancreatic Ductal Adenocarcinoma (PDAC) Tumor Microenvironment Read More »

Press Release: Indica Labs completes nationwide deployment of HALO AP™ at NeoGenomics Laboratories, Inc.

Albuquerque, NM (April 3, 2020) – Indica Labs, the leading provider of computational pathology software, is pleased to announce the formal release of its HALO AP™ Anatomic Pathology platform at NeoGenomics Laboratories, Inc.

HALO AP™ was developed by Indica Labs to address the needs of Anatomic Pathology labs. Offering a full range of tissue-based assays and workflows, the platform can be fully integrated within existing LIS solutions or can operate as a standalone case management system. HALO AP adds support for clinical trials, tumor boards, secondary consults, AI-assisted workflows, and quantitative analysis of custom laboratory developed tests (LDTs), from basic immunohistochemistry (IHC) through to novel, multiplexed immune-oncology assays.

Press Release: Indica Labs completes nationwide deployment of HALO AP™ at NeoGenomics Laboratories, Inc. Read More »

Press Release: NeoGenomics Integrates HALO® From Indica Labs

Ft. Myers, Florida – March 31, 2020 – NeoGenomics, Inc. (NASDAQ: NEO), a leading provider of cancer-focused testing services, today announced that it has integrated Indica Labs enterprise-level HALO AP™ image analysis platform for Image Analysis, Immunohistochemistry (IHC) and Multiplexing across its Clinical Services and Pharma Services businesses. The platform’s robust workflow modules streamlines analysis algorithms and provides rapid, quantitative results for a multitude of tissue types.

Press Release: NeoGenomics Integrates HALO® From Indica Labs Read More »

Press Release: NeoGenomics Integrates HALO® From Indica Labs

Ft. Myers, Florida – March 31, 2020 – NeoGenomics, Inc. (NASDAQ: NEO), a leading provider of cancer-focused testing services, today announced that it has integrated Indica Labs enterprise-level HALO AP™ image analysis platform for Image Analysis, Immunohistochemistry (IHC) and Multiplexing across its Clinical Services and Pharma Services businesses. The platform’s robust workflow modules streamlines analysis algorithms and provides rapid, quantitative results for a multitude of tissue types.

Press Release: NeoGenomics Integrates HALO® From Indica Labs Read More »

Using Deep Learning to Recognize Common Patterns of Injury in Gastric Pathology

4 March 2020 | In this 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 to detect and classify different types of gastric injury.

Using Deep Learning to Recognize Common Patterns of Injury in Gastric Pathology Read More »

Detection of Lung Cancer Lymph Node Metastases from Whole-Slide Histopathologic Images Using a Two-Step Deep Learning Approach

Hoa Hoang Ngoc Pham, et al, The American Journal of Pathology, 2020
Pham and colleagues set out to address high false positivity of lymph nodes metastasis analysis using deep learning. As characterizing lymph node metastases in breast and lung cancer is of great clinical importance for treatment selection and prognosis, finding a method with high sensitivity and specificity would represent a major advance. Here, the researchers demonstrate a two-step approach with HALO AI where the first deep learning algorithm excludes the lymph germinal centers that are the source of false positivity and the second algorithm detects tumor cells. The researchers demonstrate this method on lung cancer lymph tissue and find a sensitivity ~78% and specificity ~97% and conclude that a two-step approach can successfully be used to detect lung cancer metastases to the lymph nodes with high specificity. Future research may target development of an algorithm or algorithms with increased sensitivity that maintain high specificity.

Detection of Lung Cancer Lymph Node Metastases from Whole-Slide Histopathologic Images Using a Two-Step Deep Learning Approach Read More »

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