News

Optimizing quantitative analysis of highly multiplexed CODEX images in HALO

31 March 2022 | In this webinar, Dr. Noemi Kedei, a staff scientist at the Collaborative Protein Technology Resource core of the Center for Cancer Research (CCR) at the National Cancer Institute, will present a comprehensive CODEX workflow, from image acquisition to image processing and HALO image analysis. Dr. Kedei leads the core facility that provides this technology as service to CCR investigators, including project consultation and design, antibody panel customization, tissue staining and imaging, image processing, and data management. Since Dr. Kedei and team were an early adopter of the CODEX platform, they have acquired deep expertise in CODEX, having imaged hundreds of mouse and human fresh frozen and FFPE tissues in support of multiple NCI/CCR projects.

Optimizing quantitative analysis of highly multiplexed CODEX images in HALO Read More »

RNAscope common questions, troubleshooting, and tips and tricks

When performing RNAscope image analysis, you can set yourself up for success with a combination of thoughtful experimental design, rigorous assay execution and validation. At Indica Labs, the most common challenges we see in RNAscope image analysis include chromogenic staining that has saturated to black, which causes color deconvolution challenges, loss of nuclear morphology due to over-digestion of tissue, and failing to verify and validate an image analysis solution before scaling up.

RNAscope common questions, troubleshooting, and tips and tricks Read More »

Press Release: Indica Labs’ HALO AP® platform achieves CE-IVD certification for use in primary diagnosis

Albuquerque, NM, 10 January, 2022 – Indica Labs, a leading provider of computational pathology software and services, is proud to announce that following ISO13485 certification, HALO AP® has received a CE Mark for use in primary diagnosis within the European Economic Area, Switzerland, and the UK.

Press Release: Indica Labs’ HALO AP® platform achieves CE-IVD certification for use in primary diagnosis Read More »

Bridge the Gap with Indica Labs’ Pharma Services

At Indica Labs, our Pharma Services team is here to help you extract more data from your biomarker assays with our digital image analysis services. From single biomarker IHC to ISH/FISH and highly multiplexed fluorescence and imaging mass cytometry, we offer quantitative image analysis solutions with our own HALO and HALO AI analysis platforms. With over 150 completed image analysis projects, our team has experience across multiple disease areas, applications, and assay types, including immune phenotyping in tumors, biomarker expression profiling across TMAs and whole slide tissues, pharmacodynamic assays, target validation studies, and more. In addition to leveraging our own image analysis and image management solutions, we utilize the in-house expertise of our image analysts and algorithm development teams to enable you to make the right decisions about your biomarker program.

Bridge the Gap with Indica Labs’ Pharma Services Read More »

2021: A Year in Review at Indica Labs

As 2021 draws to a close, the team at Indica Labs would like to take this opportunity to reflect on the year and to thank our customers for their continued support through this second pandemic year. Despite the ongoing challenges that the pandemic presents, we celebrate the achievements of our customers who have published over 250 publications in peer-reviewed journals this year with an impressive average impact factor of 9.12. To learn more about these publications spanning immuno-oncology, oncology, immunology, infectious disease, and neurology, read our high-impact publications guide and visit our Literature page.

2021: A Year in Review at Indica Labs Read More »

Tumor-specific tumor-resident cytotoxic T cells predict recurrence in stage III melanoma patients treated with adjuvant immunotherapy

20 January 2022 | In this 60-minute webinar, learn how HALO and HALO AI collaborate to perform tissue and cell segmentation, quantification of T-cell subsets in tumor regions, and spatial analysis .

Tumor-specific tumor-resident cytotoxic T cells predict recurrence in stage III melanoma patients treated with adjuvant immunotherapy Read More »

A Deep Learning Convolutional Neural Network Can Differentiate Between Helicobacter Pylori Gastritis and Autoimmune Gastritis with Results Comparable to Gastrointestinal Pathologists

13 January 2022 | In this 60-minute 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 (CNN) to determine whether a CNN can differentiate autoimmune gastritis from Helicobacter pylori gastritis.

A Deep Learning Convolutional Neural Network Can Differentiate Between Helicobacter Pylori Gastritis and Autoimmune Gastritis with Results Comparable to Gastrointestinal Pathologists Read More »

Scroll to Top