Visiopharm

Fibrosis begins before birth? #ThursdayDiscovery A study by Michael J. Nash, Evgenia Dobrinskikh, Saif Al-Juboori, et al., explores how a maternal western-style diet affects liver development in third-trimester fetuses and 3-year-old juvenile macaques. They used Visiopharm software to quantitatively assess histological liver samples, and their findings suggest that metabolic dysfunction-associated steatotic liver disease (MASLD) may originate in utero — regardless of diet after birth. 👉 Read the full article: https://lnkd.in/dBsKbabT #LiverResearch #StayCurious

Highlights from last week’s Visiopharm workshop with the HistoPathology Core Facility at Institut Pasteur! The day was packed with learning, peer-to-peer networking, and inspiring case studies in digital pathology. 🎥 Watch the recap video for a behind-the-scenes look at the event. 👉 Don’t miss future workshops, subscribe to our newsletter to stay in the loop: https://lnkd.in/dAyvP8NX #StayAhead Sandrine Klasen, PhD, Ali Tebbi. PhD, David Hardy

Scoring eosinophilic esophagitis (EoE) in clinical trials is no small task. Pathologists often need to assess 6–9 esophageal biopsies per patient, manually counting hundreds of eosinophils per slide—a process that’s time-consuming, repetitive, and prone to fatigue. To streamline this workload, Alimentiv’s team used Visiopharm software to develop an AI-based tool that automates peak eosinophil count (PEC) analysis. The deep learning algorithm detects eosinophils across full biopsy sections, highlights the densest areas, and provides rapid, consistent PEC estimates. The goal of developing this augmented reading tool is to enhance, not replace, the role of pathologists, streamlining their workflow and enabling more efficient, high-throughput analysis without sacrificing quality.   Read our interview with Dr. Pavine Lefevre, lead scientist at Alimentiv: https://lnkd.in/dTqtSnqv

This week, we had the pleasure of co-hosting a workshop with the HistoPathology Core Facility at Institut Pasteur ✨ The event brought together a fantastic group of Visiopharm users who shared how they apply our software in their image analysis workflows. A huge thank you to all participants — and especially our speakers — for their inspiring presentations and discussions: David Hardy, Institut Pasteur Sarra LOULIZI, Institut Pasteur Florence A., Novalix Mario Kreutzfeldt, University Hospital of Geneva (HUG) Anaïs Balsamo, Evotec Matthew McFarlane, OracleBio Soizic Garaud, University of Brest Sofie Daelemans, CellCarta David Mason, Thomas Thiilmark Eriksen, Ali Tebbi. PhD & Sandrine Klasen, PhD, Sonja Gisladottir, Visiopharm We’re proud to support a growing community of scientists accelerating discoveries with AI-powered image analysis. Until next time! #Stayahead

New Research Alert! Joel Eliason, Santhoshi Krishnan, et al. published a study in Frontiers in Immunology exploring how spatial immune architecture shapes patient survival in metastatic melanoma.   💡 Using high-dimensional multiplex imaging and Visiopharm's AI-powered analysis platform, the team revealed how immune cell interactions differ between Stage III and IV tumors, uncovering spatial biomarkers with clinical significance.   Proud to see Visiopharm software powering insights that bring us closer to personalized immunotherapy.   🔍 Read the full article: https://lnkd.in/dhAng-S6   Congratulations to the authors: Joel Eliason, Santhoshi Krishnan, Yasunari Fukuda, Matias A. Bustos, Dan Winkowski, Sungnam Cho, Akshay Basi, Regan Baird, Elizabeth A. Grimm, Michael A. Davies, Dave S. B. Hoon, Arvind Rao, Jared K. Burks, and Suhendan Ekmekcioglu.   #ThursdayDiscovery

Shuling Zhang and Jennifer Ziello presenting our collaborative poster with Cell Signaling Technology (CST) at #AACR25   The study uses SignalStar® multiplex immunohistochemistry and Visiopharm software to uncover immune cell patterns linked to therapy response on Diffuse Large B-Cell Lymphoma (DLBC). The staining and analysis performed in this study empower researchers to more effectively stratify patients, potentially improving treatment response and outcome.   Read the full poster: https://lnkd.in/dizipWgX

At our UK user group meeting, Alexander spencer-Tansley from HistologiX presented a novel ‘Hit and Miss’ cell detection method that drastically speeds up image annotation - from 5 minutes to 30 seconds!   “At HistologiX, we’re always exploring smarter solutions that fit our projects, and Visiopharm gives us the flexibility to build tailored image analysis workflows, helping reduce turnaround times while maintaining the scientific rigour our clients expect.”   👏 A big thank you to Alex for showcasing this powerful advancement! #Staycurious

📍 Last week in Denmark... We brought together our global sales team for an energizing week of training, collaboration, and connection! From deep dives into Phenoplex and Discovery to hands-on demo practice, our team walked away more prepared than ever to support researchers worldwide. A big thanks to everyone who joined us!

Have you seen HistologiX’s method for cell detection using Visiopharm software? It's fast, accurate, and tailored to meet their clients' needs.   “Visiopharm gives us the flexibility to build tailored image analysis workflows, helping reduce turnaround times while maintaining the scientific rigour our clients expect.” - Histologix

Last week at AACR, we celebrated innovation in spatial biology by hosting a poster competition under the theme: “TME Secrets Unlocked with Image Analysis” We’re excited to recognize three outstanding posters that showcased how image analysis is revealing new insights into the tumour microenvironment (TME). George M., University of Cambridge 🧾 Poster title: Chemoradiation-induced tissue toxicity in oral cancer using 3D epithelioids. Kevin Gallagher, Scientist at NeoGenomics Laboratories 🧾 Poster: Accurate, high-throughput spatial profiling of whole slide samples with the PalettRa™ multiplexed image analysis pipeline Jiaqian Fan, Research Assistant at MD Anderson Cancer Center 🧾 Poster: Spatial heterogeneity of tumor and stromal cells in desmoplastic small round cell tumors Congratulations to our winners 👏