Correlative microscopy

NenoVision

Correlative microscopy is an approach that benefits from the imaging of the same object by at least two different techniques. With the ever-increasing demand for complex and more precise imaging, the pressure on the development of new technologies in microscopy is constantly growing. The term refers to a group of methods engaging multiple imaging techniques and correlating their data, which leads to surprising results and scientific discoveries.

Examples of correlative microscopy are many. E. g. Correlative Light and Electron Microscopy (CLEM), often used in the Life Science field, enables obtaining a complete overview of a cell, while at the same time analyze biomolecules in that same cell on the scale of a few nanometers. Other already available examples of correlative microscopy are SEM-Raman, AFM-Raman, SEM-FIB, AFM-SEM, etc.

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We are pioneers of in-situ multimodal correlative imaging

The correlation of images from two microscopes can be limited by the difficult localization of the region of interest or incompatibility of data acquired by different instruments under different conditions. To achieve the best results possible, you need to obtain and variety of AFM modalities (AFM, C-AFM, KPFM, MFM) and SEM images (SE, BSE, EBIC, EDX) at the same time, under the same conditions and in a user-friendly way.

This can be achieved by unique CPEM (Correlative Probe and Electorn Microscopy) technology, developed by NenoVision. It represents a combination of complementary AFM and SEM that enables you to use the advantages of both these techniques via LiteScope AFM-in-SEM.

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CPEM technology

With the CPEM technology developed by NenoVision, you can easily acquire AFM and SEM simultaneously and correlate them in real time. The CPEM brings new possibilities for advanced correlative imaging in a variety of fields such as Material Science, Nanostructures, Semiconductors, Life Sciences, and many more.

CPEM has been developed for a variety of applications, representing a new patented technology of correlative imaging. It brings a solution synchronizing: