20/15 Visioneers’ Post

Want to discover how you can use AI-powered solutions and automated cell culture protocols to make even the most complex 3D cell culture protocols easier and more reproducible? Come join us in an upcoming webinar on the topic of “𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗰𝗲𝗹𝗹 𝗰𝘂𝗹𝘁𝘂𝗿𝗲: 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝘁𝗵𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝗶𝗲𝘀 𝗼𝗳 𝟯𝗗 𝗰𝗲𝗹𝗹 𝗰𝘂𝗹𝘁𝘂𝗿𝗲 𝗶𝗻𝘁𝗼 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗮𝗻𝗱 𝘁𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗮𝗯𝗹𝗲 𝘀𝗰𝗶𝗲𝗻𝗰𝗲”, organized by Molecular Devices.   Key Takeaways include: ✓ How to 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝘁𝗵𝗲 𝗲𝗻𝘁𝗶𝗿𝗲 𝗰𝗲𝗹𝗹 𝗰𝘂𝗹𝘁𝘂𝗿𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 using machine learning-driven, automated workflows to make complex assays easier, reproducible and more reliable ✓ How researchers can alleviate the bottlenecks that come with labor-intensive complex protocols and 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗳𝗼𝗿 𝗱𝗿𝘂𝗴 𝘀𝗰𝗿𝗲𝗲𝗻𝗶𝗻𝗴 ✓ How to enable 𝗵𝗶𝗴𝗵-𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗿𝗲𝗮𝗱𝗼𝘂𝘁𝘀 𝗮𝗻𝗱 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 to maximize the information generated from increasingly complex data ✨Details of the webinar: ☛ Date: July 9, 2024, Tuesday ☛ Time: 02:00 PM (SGT) ☛ Speaker: minho tak from Molecular Devices ☛ Register via this link: https://lnkd.in/dDB47fMk   #MolecularDevices #3DCellCulture #CellCulture #DrugScreening #itssciencemedical

Discover how the Inventia Life Science platform replicates real human tissue structure and behavior across various disease states, offering unparalleled physiological complexity. This enables world-class research and breakthroughs—right in your lab. #3DCellbiology #Biotech #CellModels #DrugDiscovery #BiomedicalResearch

🔬 Curious about Cell Culture Bags and why they might be perfect for your cell application? 🔍 Want to learn more? Check out our latest blog post for an in-depth look https://lnkd.in/eUrvwAPh #CellCulture #CellTherapy #Innovation #ClosedSystemProcessing

🔬 Unlock High-Quality Data with Arctoris! 🔬 Discover our recipe for precision in data delivery: • Our expertise shines in developing and onboarding new assays: our 3-stage assay development/onboarding process is tailored to your requirements - throughput, assay type, pipeline stage and budget • From structural biology and biophysical to biochemical screening, we cover low to high throughput, complementing with cell biology assays for an orthogonal approach. • Automation ensures pinpoint accuracy of your experiments Experience top-tier data with Arctoris: let's elevate research together! Check the comments for more information on how to get in touch. 💡#DataQuality #Automation #AssayDevelopment #Arctoris #DrugDiscovery 🚀

** 𝟭𝟬 𝗗𝗔𝗬𝗦 𝗨𝗡𝗧𝗜𝗟 𝗖𝗬𝗧𝗢!** At Mason Harding, we LOVE supporting the next wave of start-ups reach the market by guiding their talent growth strategies, and #CYTO never disappoints to spotlight new upcoming players in the technology showcase.   Ahead of time, I wanted to shine some well deserved light on this years three finalists 🥁   🔬 CytoRecovery, Inc. ---- There's never been a more important need for gentle, quick and effective cell sorting technology. Well, the Cytorecovery team have answered the market! Their CYTO R1 platform, CytoChip, CytoBuffer and intuitive software solutions enable rapid sorting, enrichment, and recovery of rare homogeneous, viable cell subpopulations from tissue, blood and other biological samples!   🧫ImageCyte ---- image cytometry has the potential to isolate and profile single cells to reveal key drug discovery, clinical biomedical and many more insights. To minimise neighboring cell interference, ImageCyte have engineered novel nanowell imaging plates, running at either 96 or 384 well-plate formats, and enabling multiple screenings on a single plate!   💻 TerraFlow Bio ---- with talk of 50-colour+ flow cytometry panel designs, the amount of complex datasets produced from modern advanced cytometry technologies can seem overwhelming. TerraFlow have developed a cool new automated pipeline tool that delivers a full immunophenotyping report within 24 hours, with clear gating paths for each population!     Good luck to all three finalists, we can't wait for the showcase on Day 1!   #researchinnovation #discovery #flowcytometry #singlecellanalysis

Are you interested in discovering how AI-powered solutions and automated protocols can simplify even the most complex 3D cell culture processes, making them easier and more reproducible?   Join us for an upcoming webinar titled “The Future of Cell Culture: Transforming the Complexities of 3D Cell Culture into Reliable and Translatable Science,” organized by Molecular Devices.   Key Insights: Automate Cell Culture: Use machine learning to simplify and streamline complex assays for better reliability. Boost Productivity: Overcome labor-intensive protocol challenges to enhance drug screening efficiency. Advanced Analysis: Maximize data insights with high-content readouts and complex analysis techniques.    Webinar Details: 📅 Date: July 9, 2024 (Tuesday) ⏲Time: 2:00 PM (MY Time) 📢Speaker: Minho Tak from Molecular Devices ☛Registration: https://lnkd.in/dDB47fMk   Don’t miss this opportunity to stay ahead in the field of cell culture and drug screening!   #MolecularDevices #3DCellCulture #CellCulture #DrugScreening #LifeSciences #interscience

Mastering Cell-Based Assay Development By methodically defining objectives, selecting fitting cell models, perfecting culture conditions, and implementing appropriate controls, you ensure your cell-based assay is robust, reproducible, and capable of generating meaningful results. Skipping these critical development steps risks wasted time and resources. For more insights into mastering cell-based imaging assays, check out our detailed white paper here:https://lnkd.in/gtNyBYY8 If you're interested in discussing a project involving cell-based imaging assays, Book a free discovery call with this link. https://lnkd.in/gRTuXWHD A Discovery Call is a perfect way for us to connect and have a great conversation to see which of our services are a good fit for you. Check out our website to explore the services we offer https://lnkd.in/gTQkdP2y Or contact info@scintillantbio.com #CellBasedAssays #AssayDevelopment #ExperimentalDesign #ObjectiveSetting #CellModels #CultureConditions #RobustControls #ReproducibleResults #MeaningfulData #ResearchMethods #LaboratoryTechniques #BiomedicalResearch #ScientificValidation #ExperimentalPlanning #QualityAssurance #ResearchBestPractices #BenchtopScience #ScientificMethods #ResearchQuality #ScientificDiscovery

"We've chosen to apply engineering [to the problem] because if you start with Cas9, not only are you kind of weighed down by all of the baggage that that molecule has, you also are weighed down by the additional challenge of using it within the broader context of the field." - Benjamin Oakes, Cofounder and CEO of Scribe Therapeutics on the CRISPR by Design platform. Recently, Ben joined a16z Bio+Health founding general partner Vijay Pande, PhD on Raising Health where they talked about Ben's early career, experiences in the Doudna lab, the reasons behind co-founding Scribe, and the latest developments in CRISPR technology. Listen to the full conversation: https://lnkd.in/gi-UZcya

Peter Ertl is a legend in cheminformatics after spending decades at Novartis and creating several industry-standard algorithms, like a fast fragment based method to calculate molecular polar surface area - and he is going to deliver a talk at ChemTalks. All our speakers are addressing the wider topic of using technology to bridge silos within drug discovery. His talk will cover: The magic rings: Navigation in the ring chemical space guided by the bioactive rings Here is his abstract for more details: "The majority of bioactive molecules contain a more or less complex ring system as a central structural element. This central core determines the shape of the molecule, keeps substituents in their proper positions and often also contributes to the biological activity of the whole system. I will focus on the analysis of properties and structural features of ring systems in bioactive molecules and how they differ from properties of rings in common synthetic molecules. Our analysis revealed that the bioactive rings are distributed throughout the large portion of chemical space, but not uniformly; one can see several dense regions, where the bioactive rings often appear in small clusters, surrounded by empty regions. No simple set of descriptors separating active and inactive rings could be identified. The separation is best described by a neural network model taking into account a complex combination of many substructure features. I will discuss the use of the results in the various drug discovery activities including library design, bioisosteric replacement and scaffold hopping." Find the link in the comments to register for ChemTalks -» #ChemTalks #MeetCXN #DrugDiscovery

Maruan Al-Shedivat, PhD and the entire ML research team at Genesis Therapeutics are doing some of the most compelling work right now in AI. Seriously exciting and important work. Watch Maruan's recent talk at ICML on drug discovery with generative modeling.