innovation showcases

Find out how picosecond pulse diode lasers and sub-nanosecond LEDs are the traditional source of choice for Time-Correlated Single Photon Counting (TCSPC), a technique employed to measure PL decays in the range of ps – µs

The SRS MapCHECK^® array and SNC Patient™ software from Sun Nuclear have become essential for efficient, effective SIMT QA. Read the full case study to learn more

Find out more about rapid advancements in the field of solid-state lighting that have presented opportunities for the use of LED-based systems for calibrations typically performed with lamp-based sources

A customer written application note describing how an Edinburgh Instruments FLS1000 Photoluminescence Spectrometer can be used to characterize solid sensors in a relevant environment of interest

Featuring the QE Pro-Raman+ spectrometer, we examine the curing rate of a two-part epoxy as a model system for monitoring the kinetics and reaction completion of industrial processes

Gaining information so that users can ensure they are obtaining a low noise, high-precision system that meets their application

Introducing Park FX40, the new research grade AFM – describes the imaging process from beginning to end and illustrates it with real-world application examples

How spectroscopy can be used in plastics recycling to identify and sort a variety of plastics with a high degree of specificity

Discussing resonant probe AFM construction, functionality, and typical applications, such as terahertz microscopy and probing of quantum states

Extreme metrology represents the cutting edge in technological demand from the material researchers, astronomers, and other physicists whose work demands nearly unattainable precision

Single-molecule microscopy techniques tackle viruses

Using spectrofluorometers to study quantum dots

The cheaper way to get yourself an AFM

Cutting carbon contamination under vacuum

The power of confocal Raman microscopy

How applied spectral knowledge delivers results

A clever way of measuring crystal orientation

A comprehensive guide to the theory of Hall measurements –  a vital way for characterising the material properties of semiconductors

Reviewing how surface roughness has evolved as a key manufacturing parameter

Using atomic-force microscopy to explore the viscoelastic properties of heterogeneous materials

How to get publication-quality structures in the time it takes to send crystals to a synchrotron

CdTe detectors for high-energy X-ray detection – not just for solving crystal structures, but in geology and materials science, too

Describing the advantages of using a large motorized stage to load large samples and also study small samples one at a time

How different microscopy techniques can reveal quantitative differences in biological cells

Imaging ferroelectrics with resonance-enhanced PFM

RayStation’s machine learning planning module generates deliverable radiotherapy treatment plans in just minutes

Provision CARES Proton Therapy in Nashville is the first clinic to connect RayCare directly to the treatment delivery system

Deep-learning segmentation automatically generate contours of all relevant regions-of-interests in under a minute

UMCG and RaySearch evaluate the first fully automated machine learning framework for generating robust treatment plans

Multi-criteria optimization provides a streamlined and intuitive radiotherapy treatment planning workflow

Exploring the integration of the RayCare oncology information system between hospital information systems

The RaySearch team discuss machine learning, including an introduction to RayIntelligence

Introducing the principles behind piezoelectric force microscopy and reviewing its potential for investigating electric domain structures

Creating quantitative maps of the mechanical properties of various materials, ranging from hard disks to soft tissues

Explaining the basics of both techniques and discussing their applications in analytical chemistry and electrochemistry

How confocal Raman imaging can identify molecules and visualize their distribution in 3D space