Miltenyi Biotec’s Post

During her secondment at Miltenyi Biotec headquarters in Bergisch Gladbach, ESR 11 Laura Marcos Kovandzic cooperated with ESR 13 Valeria Durante to perform experiments using the MACSima™ system. Miltenyi Biotec’s MICS (MACSima™ Imaging Cyclic Staining) technology enables the simultaneous analysis of hundreds of markers on a single sample. Based on fluorescence microscopy, it uses the principle of cyclic staining with different fluorochrome-conjugated antibodies to acquire microscopy data for a multitude of parameters without harming the sample. The cyclic process includes three main steps, all conducted automatically by the MACSima™ System. As part of her PhD project, which focuses on studying the impact of gut microbiota on the efficacy of CAR-T cell therapy, Laura and Valeria collaborated through all phases of the experiment. This included antibody panel design, experiment preparation and execution, and analysis of the results using MACS® iQ View iQ View Spatial Biology software. Their aim was to determine the level of CAR-T cell infiltration and proliferation, and to further assess the phenotype of the various infiltrating cells in different treatment groups of samples from in vivo experiments performed in mice. #cancer #research #eu #mariecurie #network

Specially designed nanocomplexes were found to significantly reduce tumour size in mice without harming vital organs 🔍 Building on momentum from a previous study, Yi Yan Yang of A*STAR Bioprocessing Technology Institute (BTI) led her colleagues and collaborators from the Bioinformatics Institute, A*STAR (BII), Institute of Molecular and Cell Biology (IMCB) and the IBM Almaden Research Centre in formulating next-generation nanocomplexes that effectively target and neutralise cancer cells. When tested on mouse models, they discovered that the treatment had successfully curbed the growth of both drug-susceptible and drug-resistant human breast cancer cells ✅ Recognising the potential impact of this innovation in drug delivery, Yang remarked: “Our anti-cancer polycarbonates may prevent or delay the development of cancer metastasis and drug resistance.” Head to the comments section for the link to the complete article 👇 --- #scicomm #science #technology #STEM #research #innovation #ASTAR #BTI #BII #IMCB #HHP #cancer #nanoparticles #drugdelivery #tumors

Joining the spatial biology congress in The Hague on July 11-12?   Be sure to explore poster #10 at the Spatial Biology Congress!   We will present the HOST-Factor, an innovative approach developed by Janusz F., Edna (Eti) Cukierman, et al. at Fox Chase Cancer Center. The study combines automated cycling highplex immunofluorescent microscopy (COMET, Lunaphore) with artificial intelligence (AI)-guided image analysis #Phenoplex, offering new insights into the complexities of cancer biology and the tumor microenvironment.   "Visiopharm's Phenoplex workflow allowed me, as a cancer biologist, to effectively scrutinize high-plex immunofluorescence images of pancreatic cancer, investigating a large panel of markers and uncovering the spatial relationships of cell populations, despite being a naive user. This user-friendly platform bridges the gap between basic and translational research, representing the future of cancer cell biology." - Janusz Franco-Barraza, MD, PhD.   See you there! #SpatialBiology

🔬 New ScreenCell #publication ! 🚨 We are delighted to announce the publication of our latest scientific paper entitled "Fast and efficient isolation of murine #circulatingtumorcells using screencell technology for pre-clinical analyzes". 📄 Shortly, in this article: 1 - ScreenCell set up a fast, efficient, and cost-effective method to capture #CTCs in murine models for both normal and #cancer mice, demonstrating ScreenCell devices could detect not only human but also mouse CTCs; 2 - ScreenCell technology could isolate fixed and live CTCs and conduct further analyses of cytomorphology, molecular biology as well as cell culture; 3 - ScreenCell provides all the necessary protocols and technical aspects to isolate CTCs from mouse blood. To find out more and read the full article, follow this link: https://lnkd.in/eDBx6uwH DOI : https://lnkd.in/ehnWRiuD We would like to warmly thank the authors of this article: Fei Ye, Janine Wechsler, Amira Bouzidi, Georges Uzan & Sina NASERIAN for their outstanding work.

🔬 Welcome to the Cancer Mechanobiology and Applied Biophysics Lab's LinkedIn Page! 🔬 We are thrilled to introduce our lab's official LinkedIn presence, where we'll share the latest breakthroughs, research updates, and innovations in the field of cancer mechanobiology and applied biophysics. Stay tuned for a journey into the world of cutting-edge science, where we're exploring the mechanical properties of cells amd tissues, developing diagnostic tools and biomarkers, and pushing the boundaries of mechanobiology research. 🔍 #CancerMechanobioloy_AppliedBiophysics

Do want to know more about Miltenyi spatial multi-omics solution? Come here check link🤩

Review of the year 2023: Making the Difference - for People: Janis Stiefel’s doctoral thesis. 𝗛𝗮𝘃𝗲 𝘆𝗼𝘂 𝗲𝘃𝗲𝗿 𝘄𝗼𝗻𝗱𝗲𝗿𝗲𝗱 𝗵𝗼𝘄 𝗺𝗲𝘁𝗮𝘀𝘁𝗮𝘀𝗲𝘀 𝘀𝗽𝗿𝗲𝗮𝗱 𝗶𝗻 𝘁𝗵𝗲 𝗯𝗼𝗱𝘆? They originate from proliferative circulating tumor cells (CTCs) that disseminate from the primary tumor via blood and lymph vessels. Detecting such tumor characteristics is challenging due to the low number of CTCs in comparison to billions of blood cells. When Janis Stiefel started to work on his dissertation he wanted to change this. Using automated immunomagnetic bead enrichment and antibody-based fluorescence detection in a chip-based microfluidic system, he characterized isolated cells for liquid biopsy. Comparing manual and automated enrichment, he focused on head and neck squamous cell carcinoma (HNSCC) and metastatic breast cancer. He successfully reduced white blood cell interference, enabling over 50 percent CTC recovery from 7.5 mL of blood. These results substantially contribute to establishing a platform technology of Fraunhofer IMM in applied research of liquid biopsy. Janis Stiefel is a research associate in the Division Diagnostics at Fraunhofer IMM. The defense of his dissertation on "Automated Isolation of Circulating Tumor Cells and their Molecular Biological Analysis" took place on January 30, 2023 at the Johannes Gutenberg University Mainz. More information about his thesis 👉 https://lnkd.in/exeESCWj #liquidbiopsy | #CirculatingTumorCells | #microfluidics | #cancerresearch| #Fraunhofer | #research

Today I presented our team’s work on learning using weakly labeled datasets for cell segmentation at the #SPIEMedicalImaging conference. By leveraging adapted target losses, we are able to utilize nucleus centers annotations and nucleus segmentations for the segmentation of whole-cell instances. This allows us to increase the available training data and results in an overall improvement of model accuracy.   Tomorrow I will present a poster on our work showcasing an innovative, almost entirely annotation- and hypothesis-free method for discovering predictive cancer biomarkers candidates from cell phenotypes using self-supervised learning and clustering. This work has the potential to accelerate biomarker discovery, by identifying novel biomarkers, and offering valuable insights towards treatment selection.   Looking forward to meeting the rest of the attendees at my poster. Thank you SPIE, the international society for optics and photonics for an informative and well-organized event. https://lnkd.in/d3g5Z_3c    #computationalpathology

The PRIN project COLLECT started on 28th September 2023. The project aims to design and implement a label-free opto-mechano-fluidic platform for cell separation via computational-intelligence-aided image-activated morphology/deformability-based real-time bio-particle sorting by integrating two complementary facilities, namely, a label-free imaging module for bio-particle mechano-sensing and a microfluidic device for intelligent cell sorting activated by real-time machine-learning-assisted imaging analysis. The main objective is the demonstration of the technology’s utility on a challenging cancer biology application, namely, the sorting of the different kinds of Tumor Micro-Environment (TME) cells found in a solid cancer mass, with a specific focus on the count and separation of T lymphocytes. The project involves 3 italian research units: 1. National Research Council (CNR-ISASI and CNR-STIIMA) 2. University of Naples "Federico II" 3. University of Bologna "Alma Mater Studiorum"