Exciting Instruments’ Post

Join us for the first SACCMA Virtual Workshop Series 2024 event presented by ZEISS Microscopy!!! Come and learn more about your microscopy options when using Advanced Cell Modelling in your research. #organoid #3Dcellculture #bioimaging #spheroid #iPSC #cellmodelling

Don't forget to sign up for the Biophysical Summit! ✨ We offer both virtual and in-person attendance! Come with your questions and learn how companies tackle the characterization of novel modalities. Register here: https://lnkd.in/eTpxGSES #BiophysicalSummit #KBI #AppliedPhotophysics

We're letting our SLAS science stars shine on this week's episode of New Matter. Listen in as SLAS Scientific Manager Hannah Rosen, Ph.D., and SLAS Scientific Director Lesley Mathews, Ph.D., pit spheroids and organoids against each other. Well, maybe it's not that dramatic, but they do break down the differences of each, how they're currently being used in research and what the future holds for 3D cell culture modeling. Listen now: https://lnkd.in/dpSVJdAK.

Shape the future of spatial flow cytometry by completing our survey: https://lnkd.in/eR3uM6Jd

5 years ago I was sent to our demo lab in Seoul, South Korea 🇰🇷 , to help install the first Synapt XS system. 5 years on the Synapt XS, hand built in Wilmslow still stands strong as a fantastic platform for Ion Mobilty. If you want to find out more about our Ion Mobilty platforms I’d recommend reading the comparison article written by Adam King et al. https://lnkd.in/efhMcUWj 🧪Do you use Ion mobility in your lab ? 🧪 Where do you see the science developing in the next 5 years? #metabolomics #IonMobility #MassSpec #AnalyticalChemistry #Development

Take a look at why the Aurora Rapid 8 cm x 150 µm column is redefining large-cohort sample analysis in our application note. With over 9,300 proteins identified per run and a mean Pearson correlation above 0.98 across 257 QC runs, this column delivers unmatched throughput and sensitivity using just 200 ng of sample. Paired with Thermo Fisher Scientific's Orbitrap Astral, it proved to be the top choice for analysing a large patient plasma cohort in a recent study by Johannes Müller-Reif and team. Explore why this column is setting new standards in high-throughput research.

📃 AI-Health Research Artificial intelligence-based CT-free quantitative thyroid SPECT for thyrotoxicosis: study protocol of a multicentre, prospective, non-inferiority study. AI-driven CT-free SPECT shows promise in diagnosing thyrotoxicosis. Study aims to reduce radiation exposure. 🩺✨ https://lnkd.in/dBSYF_N8

This new perspective on interneuron diversity and #evolution, microenvironment and cellular crosstalk , written by a leading expert in the field, is a must read for those trying to understand how #brain is build during embryonic development. Congrats to Carla Gomes da Silva of the UMC Utrecht Brain Center!

Universal tool for tracking immune cell interactions in vivo A new paper in Nature describes uLIPSTIC, a tool capable of laying the groundwork for a dynamic map tracking the physical interactions between different cells—the elusive cellular interactome. The authors have been perfecting the technology since 2018 and the latest iteration can in principle allow researchers to directly observe any cell-to-cell interaction in vivo. "With uLIPSTIC we can ask how cells work together, how they communicate, and what messages they transfer," says the senior author. "That's where biology resides." LIPSTIC, an innovative approach from the lab that involved labeling cellular structures that touch when two cells make fleeting, "kiss-and-run" contact before parting ways. The labels ensured that, if one cell "kissed" another, it would leave a mark akin to a lipstick, enabling easy identification and quantification of physical interactions between cells. #ScienceMission #sciencenewshighlights https://lnkd.in/dMMaF5WP

Grateful for the opportunity to present at IBERGRID 2024! My talk focused on the Use of HPC Computing for Accelerating Drug Discovery Targeting the SARS-CoV-2 S-RBD/ACE2 Interaction. In my presentation, I discussed how high-performance computing (HPC) is proving invaluable in drug discovery, especially in urgent situations like the COVID-19 pandemic. By leveraging advanced computational power, we’re able to model and analyze the complex interactions between the SARS-CoV-2 spike receptor-binding domain (S-RBD) and the ACE2 receptor with greater precision and efficiency, ultimately accelerating the search for potential therapeutic targets.