19 feb Telight Q-Phase
-Phase solution is based on the unique patented technology of Coherence-Controlled Holographic Microscopy (CCHC). This technology uses incoherent light sources (halogen lamp or LED) providing QPI with high quality. Moreover, it is the only QPI technique, that enables imaging of samples in scattering media (phospholipid emulsions, extracellular matrices, etc.)
- Unique cellular contrast – The quantitative phase imaging directly visualizes cellular mass (thickness x refractive index).
- No image artifacts such as halo effect (as opposed to techniques based on Zernike phase contrast illumination).
- Transparent cells made visible – Even the most transparent cells and their outlines can be distinguished from the background.
- Look inside the cells – Changes in internal parts of cells such as nuclei vacuoles, and many more, can be seen without any labeling.
- Multiple imaging modes – Additional imaging modalities are available such as widefield fluorescence, simulated DIC, brightfield, or high-pass filtered QPI. Multiple dimensions can be combined in a single experiment and automatically acquired by the Q-Phase system (timelapse, multi-position, multi-channel, Z-stack) to provide a more complete picture in a synergistic fashion.
the data with high accuracy
- QPI images offer the highest cell/background contrast among other label-free imaging techniques thus enabling the most reliable and precise automated (or manual) segmentation of individual cells. Even highly confluent populations can be reliably segmented.
- Moreover, fluorescence data can be utilized to refine the segmentation even further
- QPI-based segmentation is also very fast, which significantly speeds up analyses of large datasets with thousands of frames.
ANALYZE quantitative data
for every cell
- The powerful Q-Phase analysis toolbox processes segmented images on-the-fly and provides a complex portfolio of tools for data visualization, subpopulation gating, and multi-parameter data mining. It links quantitative data to images and individual cells, which makes optimizing gates and checking outliers extremely easy and efficient.
- The resulting data can be exported in common file formats for further processing and analysis.