🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

We’re hosting the next of our FREE educational webinars on 28th January 2025. Don’t miss out! This webinar will be all about NPIC Digital Pathology Deployment. Register for the webinar here: events.teams.microsoft.com/event/fa8ca626… #digitalpathology

Special Stains in Histopathology 🔬 polysciences.com/german/catalog…

📢We're now on Bluesky Find us at bsky.app/profile/clirsp…

Thrilled to share latest research in Applied Spectroscopy Reviews by Mohamed Patel ! 📢 🔬 The review explore how Surface-Enhanced Raman Spectroscopy (SERS) + Microptofluidics can revolutionize #CancerDiagnostics. Read more at: doi.org/10.1080/057049…

Applications of Artificial Intelligence, Deep Learning, and Machine Learning to Support the Analysis of Microscopic Images of Cells and Tissues. J. Imaging 2025, 11(2), 59; doi.org/10.3390/jimagi… #deeplearning #openaccess

Adapting Classification Neural Network Architectures for Medical Image Segmentation Using Explainable AI. J. Imaging 2025, 11(2), 55; doi.org/10.3390/jimagi… #deeplearning #openaccess

Final webinar in the current series is next week. A chance to ask questions of the whole team about digital pathology and our work in National Pathology Imaging Co-operative (NPIC)

Incomplete metadata is a major roadblock in scientific data management. Without detailed descriptions, datasets become difficult to interpret, leading to confusion, misinterpretation, and loss of valuable insights. Researchers waste time deciphering missing details instead of

Identification of at-risk prostate cancer patients using Fourier transform infrared spectroscopy and machine learning. SPIE: Toward Real-Time Spectroscopic Imaging and Diagnosis; 1331103 (2025) doi.org/10.1117/12.304… Presentation + paper #infrared #prostatecancer #cancer #oa

Plz RT Fully funded PhD studentship available in our labs in Inst of Systems, Molecular & Integrative Biology with Unilever on the development of Raman, SERS and MS for Understanding the link between odorous thioalcohol generation and axillary microbiome. Start: Oct. 2025 Apply here: findaphd.com/phds/project/u…

Great to be at #AACR25 to present our work on developing spectroscopy tools for predicting DCIS progression to breast cancer. Thanks to the support from Prof Nick Stone 🩺🔦🔬🌈📸💻🧠🧬🚦 Cancer Grand Challenges Cancer Research UK clirspec #dcis CLIRPath-AI National Institute for Health and Care Research University of Exeter

Even though most breast lumps are not cancer, it’s important to get them checked. Learn about breast lumps and benign (not cancer) breast conditions. breastcancernow.org/about-breast-c…

One week to apply for Microscopy Training Grant from J Cell Science FocalPlane if you would like to attend a #microscopy or #bioimageanalysis training course in the next 6 months but don’t have funding. Next deadline: 6 June 2025 biologists.com/grants/jcs-foc…

📢Places are still available for the joint CLIRSPEC/CLIRPath-AI Summer School in July. Book now to reserve your place! clirspec.org/summer-school/ CLIRPath-AI have bursaries available for UK-based postdocs. Follow us on Bluesky too bsky.app/profile/clirsp…

nature.com/articles/s4158…

Hey #LABICommunity! Join our webinar on the Imaging for All (i4A) Program, coordinated by Global BioImaging and funded by Wellcome 📅 June 10 | 🕘 09:00 MX / 12:00 UY / 18:00 CEST 🔍 Learn how to apply, connect globally & get support! 📲Register: us02web.zoom.us/meeting/regist…

New ‘How to’ post on FocalPlane 🔬💻 Lea Kabjesz shares a step-by-step guide to get you started annotating 2D and 3D images in Cellpose, including video tutorials. focalplane.biologists.com/2025/06/05/ann… #bioimageanalysis #cellpose #imaging #HowTo

Working with Global BioImaging, we're very proud to launch our new #AcknowledgementGuidelines poster, helping #ImagingScientists get the credit they deserve for their research contributions! #CreditWhereItsDue Read more: rms.org.uk/resource/rms-a…

Multivariate and Machine Learning-Derived Virtual Staining and Biochemical Quantification of Cancer Cells through Raman Hyperspectral Imaging Anal. Chem. 2025 doi.org/10.1021/acs.an… #ramaneffect #cancer #ml Follow us on Bluesky too: bsky.app/profile/clirsp…

RamanMAE: Masked Autoencoders Enable Efficient Molecular Imaging by Learning Biologically Meaningful Spectral Representations bioRxiv 2025.05.18.654618 doi.org/10.1101/2025.0… #preprint #ramanefect #AI #OpenAccess Follow us on Bluesky too: bsky.app/profile/clirsp…