A method that allows the long-term labeling of different cell populations in tens of different colors using fluorescent nanoparticles.
Diagnostics
Take Heart: Self-Powered Wearable Sensor for Cardiovascular Disease Prevention
A flexible self-powered ultrasensitive pulse sensor (SUPS) based on a triboelectric nanogenerator (TENG) is presented.
Cytometry Part A Special Sections on Imaging Cytometry
Two new, Special Sections dedicated to imaging technologies.
Cover Art – Featuring DNA Origami, Cardiac Scaffolds and Stem Cells
This week’s Advanced Healthcare Materials cover manuscripts.
Particle Targeting in Complex Biological Media
Parameters that affect the biological performance of particles and highlight strategies for improved targeting ability of particles.
Two Decades of Dendrimers as Versatile MRI Agents: A Tale with and without Metals
A vast number of metallic and non-metallic labels can be conjugated to the dendrimer surface in order to transform them into MRI agents. Due to their multiple branches and high payload they can be readily detected, for example, following local delivery to a brain tumor.
Spontaneous and Stimulated: Combined Raman Imaging Reveals News About Heart Diseases
A team of German scientists used fast spontaneous Raman and Stimulated Raman Scattering (SRS) combined imaging to study the distribution and composition of lipids related to cardiovascular disease.
Improved FMT Technology To Image Deep Tissue Regions
German scientists recently developed an improved FMT reconstruction for the imaging of deep tissue regions which could be beneficial in imaging colon cancer and inflammatory bowel disease.
Small But High-Speed Steps Closer To Understanding Brain Strokes
American neuro-scientists recently demonstrated getting a small step closer to creating a better understanding of so-called mini-strokes, which are related to cognitive decline and dementia, using high-speed optical-resolution photoacoustic microscopy.
Stop The Noise! New Analysis Method for FLIM Data is Noise-Corrected
German and British researchers tested a novel Noise-Corrected Principal Component Analysis (NC-PCA) method for time-domain FLIM data and showed how useful and robust this new technique can be.
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