05 May 2022 | In this 60-min webinar, Dr. Ghislaine Lioux will present solutions to common RNAscope image analysis challenges including how to optimize color deconvolution, nuclear segmentation, and how to manage spot clusters
Masterclass Webinar: Optimizing RNAscope Image Analysis Read More »
We’re excited to announce the launch of the updated Vacuole Quantification module v3.2! In this blog post, you can learn about some of the new
Announcing the Vacuole Quantification module v3.2 Read More »
20 April 2022 | In this 2-hour event, learn from three experts in RNAscope image analysis with HALO® as they present their scientific research, share RNAscope tips and tricks, and participate in a panel discussion.
Whole-slide Quantitative RNAscope Image Analysis: Applications and Methods Read More »
29 March 2022 | A new version of HALO AP, Indica Labs’ clinical case management software, is coming soon! HALO AP 2.0 reimagines the pathologist’s cockpit with an updated case viewer and several new workflow enhancements. In this hour-long webinar, we will demonstrate these new features and end with a Q&A session.
HALO AP 2.0 Sneak Peek Read More »
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 »
An Interview with Dr. Anne Hellebust, Director of Product.
An Interview with Dr. Anne Hellebust, Director of Product Read More »
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 »
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.
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 »
Expansive Interview Vlado Ovtcharov: Senior Research Scientist – Artificial Intelligence
An Interview with Vlado Ovtcharov, Senior Research Scientist – Artificial Intelligence Read More »
