Particle Characterization System Critical to Development of Brain Tumor Illumination
|
By MedImaging International staff writers Posted on 05 Feb 2010 |
A particle characterization system is proving to be a creative research tool for advanced healthcare applications such as gene therapy and selective-target carrier molecules.
The University of Washington (Seattle, WA, USA) researchers reported that accurate zeta potential and particle size measurements were critical to their successful development of fluorescent, tumor-targeting iron oxide nanoparticles. Able to safely cross the blood-brain barrier and selectively illuminate brain cancer cells during a magnetic resonance imaging (MRI) scan, the innovative molecules resulting from this research should make brain cancer imaging much safer.
"Safe molecular penetration of the blood-brain barrier depends on a particle's size, fat content, and electric charge. It wasn't until we obtained the Zetasizer Nano in 2006 that we were able to efficiently measure, monitor, and optimize these properties and develop nanoparticles that deliver the desired half-life in blood but remain stable long enough to support imaging,” explained Prof. Miqin Zhang, from the University of Washington's department of materials science and engineering. The Zetasizer Nano system was developed by Malvern Instruments (Malvern, UK).
The blood-brain barrier protects the brain from infection. Current imaging techniques require the injection of both dyes and a drug to forcefully open the barrier. Prof. Zhang and her team have formulated particles approximately 33 nm in diameter. Three times smaller in wet conditions than anything previously formulated in the lab, these particles can naturally penetrate the blood-brain barrier without exposing the patient to the risk of infection, and represent a highly significant advance in brain cancer imaging.
The Nanoparticle Lab within the University of Washington's department of materials science and engineering focuses its research on cancer diagnosis and treatment through imaging enhancement and targeted and controlled therapeutic payload delivery. This is accomplished by use of nanoconjugates or multifunctional nanovectors. A nanoconjugate is a chemically modified nanoparticle serving as a "vehicle” that carries biomolecules to target cells. The term "nanovector” here refers to a nanosized entity that plays a functional role in the perspective of therapeutics.
Malvern Instruments provides a range of complementary materials characterization tools that deliver interrelated measurements reflecting the complexities of particulates and disperse systems, nanomaterials and macromolecules. Analytic instruments from Malvern are used in the characterization of a wide variety of materials, from industrial bulk powders to nanomaterials and delicate macromolecules. A wide range of innovative technologies is combined with intelligent, user-friendly software. These systems provide industrially relevant data enabling the customers to make the connection between micro (such as particle size) and macro (bulk) material properties (rheology) and chemical composition (chemical imaging).
Particle size, particle shape, zeta potential, molecular weight, chemical composition and rheologic properties measurements are combined by advanced chromatography systems (GPC/SEC), extending Malvern's technologies for protein molecular weight, size, and aggregation measurements, and synthetic polymer molecular weight and distribution.
Related Links:
University of Washington
Malvern Instruments
The University of Washington (Seattle, WA, USA) researchers reported that accurate zeta potential and particle size measurements were critical to their successful development of fluorescent, tumor-targeting iron oxide nanoparticles. Able to safely cross the blood-brain barrier and selectively illuminate brain cancer cells during a magnetic resonance imaging (MRI) scan, the innovative molecules resulting from this research should make brain cancer imaging much safer.
"Safe molecular penetration of the blood-brain barrier depends on a particle's size, fat content, and electric charge. It wasn't until we obtained the Zetasizer Nano in 2006 that we were able to efficiently measure, monitor, and optimize these properties and develop nanoparticles that deliver the desired half-life in blood but remain stable long enough to support imaging,” explained Prof. Miqin Zhang, from the University of Washington's department of materials science and engineering. The Zetasizer Nano system was developed by Malvern Instruments (Malvern, UK).
The blood-brain barrier protects the brain from infection. Current imaging techniques require the injection of both dyes and a drug to forcefully open the barrier. Prof. Zhang and her team have formulated particles approximately 33 nm in diameter. Three times smaller in wet conditions than anything previously formulated in the lab, these particles can naturally penetrate the blood-brain barrier without exposing the patient to the risk of infection, and represent a highly significant advance in brain cancer imaging.
The Nanoparticle Lab within the University of Washington's department of materials science and engineering focuses its research on cancer diagnosis and treatment through imaging enhancement and targeted and controlled therapeutic payload delivery. This is accomplished by use of nanoconjugates or multifunctional nanovectors. A nanoconjugate is a chemically modified nanoparticle serving as a "vehicle” that carries biomolecules to target cells. The term "nanovector” here refers to a nanosized entity that plays a functional role in the perspective of therapeutics.
Malvern Instruments provides a range of complementary materials characterization tools that deliver interrelated measurements reflecting the complexities of particulates and disperse systems, nanomaterials and macromolecules. Analytic instruments from Malvern are used in the characterization of a wide variety of materials, from industrial bulk powders to nanomaterials and delicate macromolecules. A wide range of innovative technologies is combined with intelligent, user-friendly software. These systems provide industrially relevant data enabling the customers to make the connection between micro (such as particle size) and macro (bulk) material properties (rheology) and chemical composition (chemical imaging).
Particle size, particle shape, zeta potential, molecular weight, chemical composition and rheologic properties measurements are combined by advanced chromatography systems (GPC/SEC), extending Malvern's technologies for protein molecular weight, size, and aggregation measurements, and synthetic polymer molecular weight and distribution.
Related Links:
University of Washington
Malvern Instruments
Latest MRI News
- AI Approach Could Shorten Advanced Brain MRI Scans by Up to 90%
- Cardiac MRI Measure Improves Risk Prediction in Tricuspid Regurgitation
- AI System Improves Accuracy of Cardiac MRI Interpretation
- Deep Learning Model Predicts Alzheimer’s Disease Outcomes from Baseline MRI
- Blood-Brain Barrier Imaging Adds Risk Insight to Standard Stroke MRI
- AI Body Composition MRI Analysis Predicts Cardiometabolic Disease Risk
- AI MRI Tool Quantifies Muscle Fat to Assess Cardiometabolic Risk
- Advanced MRI Visualizes CSF Motion Changes After Mild Traumatic Brain Injury
- MRI Tool Enables Long-Term Tracking of Transplanted Cardiac Cells
- MRI-Based AI Tool Supports Differentiation of Parkinsonian Syndromes
- MRI-Derived Biomarker Improves Risk Stratification in Glioblastoma
- Combined Imaging Approach Identifies Cause of Heart Attack without Coronary Blockage
- Advanced MRI System Detects Impaired Cardiac Oxygen Use in Minutes
- AI-Enhanced MRI Improves Image Quality in Arrhythmia Patients
- Ultra-Detailed Brain Atlas Enhances Early Detection of Neurological Disorders
- Study Finds Advanced Imaging Significantly Reduces Unnecessary Prostate Biopsies
Channels
Radiography
view channel
Rapid X-Ray Test Quantifies Pulmonary Regurgitation After Tetralogy of Fallot Repair
Tetralogy of Fallot is the most common cyanotic congenital heart defect and can leave patients with pulmonary valve regurgitation, a backward flow of blood into the right ventricle after repair.... Read more
AI Tool Flags Osteoporosis Risk from Routine Chest X-Rays
Osteoporosis is a progressive loss of bone density that is often silent until a fracture occurs. Current screening frameworks concentrate on older women and select high-risk groups. Many men, younger adults,... Read moreUltrasound
view channelAI Robotic Ultrasound System Automates Echocardiography and Improves Consistency
Echocardiography, an ultrasound examination of the heart, is central to diagnosing and managing cardiovascular disease. Many services struggle with limited availability of skilled sonographers, variable... Read more
Whole Cross-Section Ultrasound System Enables Operator-Independent Imaging
Conventional ultrasound is central to bedside imaging but is limited by a narrow field of view and operator variability. Comprehensive cross-sectional assessment typically requires computed tomography... Read moreNuclear Medicine
view channel
Targeted PET Platform Guides Osteosarcoma Resection and Margin Verification
Osteosarcoma, an aggressive primary bone cancer that mainly affects children and adolescents, demands wide excision to prevent local recurrence. Surgeons must achieve negative margins while preserving... Read more
Portable PET System Enables Real-Time Bedside Guidance for Biopsies and Ablations
Interventional radiology procedures typically rely on ultrasound, X-ray fluoroscopy, or computed tomography for image guidance. These modalities visualize anatomy but offer limited molecular information,... Read moreGeneral/Advanced Imaging
view channelNew SPECT/CT Method Differentiates Inflammation from Fibrosis in Interstitial Lung Disease
Interstitial lung disease (ILD) encompasses more than 200 disorders that inflame or scar the lung interstitium and can lead to progressive respiratory failure. Determining whether active inflammation is... Read more
Whole-Body PET/CT Tracks Metabolic Changes After Bariatric Surgery
Obesity surgery improves weight and comorbidity profiles, yet clinicians lack tools to monitor organ-level metabolic recovery after the procedure. A clear view of systemic changes could refine follow-up... Read moreImaging IT
view channel
Interactive AI Tool Supports Explainable Lung Nodule Assessment
Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read more
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare Showcases AI-Enabled Nuclear Medicine Portfolio at SNMMI 2026
Nuclear medicine is expanding rapidly as health systems adopt theranostics and broaden access to radiopharmaceuticals, increasing demand for scalable operations and consistent diagnostic confidence.... Read more
GE HealthCare Highlights AI-Supported Radiation Therapy Tools at ESTRO 2026
At the European Society for Radiotherapy and Oncology (ESTRO) 2026 Congress in Stockholm, GE HealthCare is highlighting Intelligent Radiation Therapy (iRT), MIM Software innovations, and BK Medical surgical... Read more







