Medical Imaging & Biophotonics: New Hope for Cardiovascular Disease Patients

Bruker Preclinical Imaging's 𝗫𝟰 𝗣𝗢𝗦𝗘𝗜𝗗𝗢𝗡 transforms 𝗺𝗶𝗰𝗿𝗼-𝗖𝗧 𝗶𝗺𝗮𝗴𝗶𝗻𝗴 by combining high-resolution, non-destructive analysis with a compact benchtop design. Now every biomedical lab can unlock deeper insights into structure and function—without sacrificing space, speed, or data quality.   Learn more: https://lnkd.in/daMaJ9UH

Before you invest in another imaging system, it's important to evaluate whether a single scanner can support your lab's existing imaging workflows. Western blots, multi-well plate cell-based assays, whole-tissue scans, and in vivo imaging all require different detection approaches. The Sapphire FL Biomolecular Imager is designed to support diverse workflows with a single scanner across multiple applications. This on-demand webinar walks through real research use cases, helping researchers evaluate how a single imaging system can support multiple applications. #LifeScience #MolecularBiology #WesternBlots #LabImaging #ResearchTool

Many labs are running multiple imaging systems for workflows that could live on one platform. The Sapphire FL is built to handle western blots, multiplex fluorescence, plate-based assays, and more — without forcing workflow changes. If you're in SoCal, Nevada, or Hawaii and want to see real application data or schedule a live demo, message me directly. Happy to bring it in and let your data speak for itself.

We’re proud to share that the joint abstract from University of California, San Francisco (UCSF) and Bruker—led by Renuka Sriram, Donghyun Hongand, and collaborators—has been accepted for an oral presentation at EMIM 2026. The team demonstrates, for the first time, rapid, low‑dose in vivo hyperpolarized ¹³C metabolic imaging using cross polarization (CP). Key outcomes from the study: • ~10× faster polarization buildup compared to direct polarization, enabling true high‑throughput metabolic imaging. • Robust detection of lactate, alanine, and bicarbonate in mouse kidney—even with significantly lower pyruvate dose. • Simultaneous CP of pyruvate and urea, showing sustained multi‑agent HP signals A huge congratulations to Renuka and the entire UCSF–Bruker team for advancing what’s possible in metabolic MRI. We're looking forward to the presentation in Ljubljana, Slovenia! See you at Booth 1 on March 24-27. Learn more about the event: https://lnkd.in/d9qV7hgK European Society for Molecular Imaging - ESMI #Bruker #EMIM2026 #ImagingExcellence #Imaging #PMOD

TMH is proud to celebrate our 200th case using CathWorks! The CathWorks FFRangio® System combines artificial intelligence and advanced computational science to analyze angiographic images of coronary arteries. By analyzing routine angiograms (X-rays), the system creates 3D models to measure blood flow (FFR) without requiring drug stimulation or invasive pressure wires, providing faster, safer assessments during heart procedures. TMH’s interventional cardiologists were the first in the state to use this advanced technology.

In 1896, just weeks after Wilhelm Röntgen announced the discovery of X-rays, Yale physicist Arthur Wright produced one of the earliest X-ray images in the United States. That moment marked the beginning of a medical imaging revolution. Over the past century, innovations such as pulsed fluoroscopy, frame-rate reduction, and improved collimation have helped make X-ray imaging both more powerful and safer. Today, the next step forward is Region of Interest (ROI) imaging. By concentrating full imaging power only where it’s clinically needed—and reducing exposure in surrounding areas—ROI technology further reduces radiation for patients and staff during interventional procedures. From the first shadow images of the 1890s to AI-enabled imaging technologies today, the evolution of X-ray continues to move toward a simple goal: better imaging with less radiation. Read the full article about America's First X-Ray: How Yale Advanced Medical Imaging - https://lnkd.in/eP6_SKZW Yale University #MedicalImaging #RegionOfInterest #RadiationReduction

🌈 Proud to share that Jordi Petriz's chapter, "Acoustic Imaging Cytometry for High-Throughput Cell Analysis," has been selected as the cover feature in Current Protocols in Cytometry. The publication highlights how acoustic imaging cytometry integrates high-throughput flow cytometry with high-resolution brightfield imaging—capturing quantitative and morphological data simultaneously at up to 6,000 events per second. By using acoustic focusing to align cells precisely, this approach generates high-contrast, label-free images that enhance traditional fluorescence analysis and enable deeper characterization of complex oncological and immunological samples. A strong recognition of the innovation behind the Invitrogen™ Attune™ CytPix™ Flow Cytometer, bringing imaging-enabled flow cytometry into routine, high-performance workflows. 📢Read more: https://lnkd.in/g-nsx2Hv 👉Attune Cytpix: https://lnkd.in/gnPTFiBr 🎉 Congratulations to Jordi and everyone involved! #Cellanalysis #Flow #Invitrogen #ThermoFisherColleague #AttuneCytPix

A strong recognition of the innovation behind the Invitrogen™ Attune™ CytPix™ Flow Cytometer, bringing imaging-enabled flow cytometry into routine, high-performance workflows. 📢Read more: https://lnkd.in/g-nsx2Hv 👉Attune Cytpix: https://lnkd.in/gnPTFiBr #Cellanalysis #Flow #Invitrogen #ThermoFisherColleague #AttuneCytPix

🧠 Making advanced diagnostics more accessible, the article "Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices" presents a highly efficient model designed for real time tumor detection on low power hardware, expanding access to lifesaving imaging tools. 🥼 Authored by Akmalbek Abdusalomov, Sanjar Mirzakhalilov, Sabina Umirzakova, Abror Shavkatovich Buriboev, Azizjon Meliboev, Bahodir Muminov and Heung Seok Jeon. 🔬 This study introduces a modified RetinaNet that replaces the heavy ResNet backbone with MobileNet and depthwise separable convolutions, achieving strong performance with minimal computational load. The model reaches an average precision of 32.1 and excels at detecting small and large tumors, while maintaining confidence scores above 81 percent across BRATS dataset evaluations. Its lightweight design enables deployment on medical edge devices, offering a valuable solution for early tumor detection in underserved or remote regions lacking advanced imaging infrastructure. You may access the full article freely here 👉 https://brnw.ch/21x0cio Please feel free to follow our LinkedIn account Bioengineering MDPI! #MDPI #OpenAccess #Bioengineering #BrainTumorDetection #MedicalImaging #EdgeAI #LightweightModels #HealthcareAccessibility

Fluorescent imaging for CNS cels quantification – InnoQuant vs Wide-field: a comparison of two methods Fluorescent imaging is a powerful technique for visualizing and understanding biological processes. Traditionally, these images are captured using high-cost microscopes that image one sample at a time. However, advancements in imaging technology have introduced slide scanners, which allow users to image multiple samples in a single session with minimal user input, enabling more efficient project scaling. A key question remains: Can results obtained from a traditional wide-field microscope be reliably replicated using a slide scanner? Read more: https://lnkd.in/eeSciVkK #InnoQuant #FluorescentImaging #CellQuantification #NeuroscienceResearch