Nanosense is an advanced particle analysis system based on Dynamic Light Scattering (DLS), developed to characterize nanoparticle and colloidal systems under conditions where conventional DLS instruments become unreliable.
The system is designed to measure particle size distributions in dense, absorbing, heterogeneous, and polydisperse samples, without mandatory dilution or alteration of the sample’s native state.
The optical configuration minimizes multiple scattering effects, enabling analysis of samples that typically require dilution in standard DLS systems.
The confined interaction volume improves signal quality and allows localized measurements within heterogeneous samples.
The detection architecture replaces traditional photomultiplier-based solutions with optimized photodiode detection and external amplification, lowering manufacturing cost while maintaining measurement accuracy.
Particle size is extracted using established DLS methods, including cumulant analysis and numerical inversion techniques.
Developed as an independent particle analysis environment, the software can be used with or without the Nanosense hardware system. It is designed to process intensity fluctuation signals originating from laser–sample interactions, regardless of the specific optical or hardware setup used to acquire the data.
As a result, the software can be used to:
Advanced DLS Data Analysis Without Coding
The software processes raw intensity signals and computes particle size information through established and validated DLS methodologies. The user interface requires no programming or scripting, allowing researchers and technicians to perform advanced particle analysis through a guided graphical environment.
Calculation of intensity autocorrelation functions
Cumulants analysis for Z-average size and polydispersity estimation
Numerical inversion of the inverse Laplace transform using CONTIN-based methods
Visualization of particle size distributions and diagnostic plots
Real-time feedback on signal quality and calculation stability
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