Konfokální mikroskop CellVizio Dual Band
CellVizio DualBand is optic-fiber confocal fluorescence microscope, which provides in vivo real time monitoring of tissue surface in cellular resolution.
Images are acquired simultaneously at two excitation wavelengths (488 and 660 nm) and registered. This provides ability to visualize both anatomical and functional information in real time. With CellVizio it is possible to observe delivery of drugs or other marked substances in the tissue.
Application of fiber probes is none or minimally invasive, so it is possible to work on the same animal repeatedly or for a long time period. Probes diameter varies from 0.3 to 4.2 mm. Due to this small size it is possible to reach any region within the body of the laboratory animal. Each probe has different field of applications according to its parameters, such as resolution, thickness of optical section or field of view. Probes available in our facility are described in the table below with description of their typical application.
Available probes Probe model |
Application |
Tip diameter (mm) |
Lateral resolution (μm) |
Optical sectioning (μm) |
Working distance (μm) |
Max field of view (μm) |
ProFlex Z |
Blood flow through the vessel, deep cell layers of tumor, organ or tissue |
1.8 |
3.5 |
70 |
100/170 |
600 |
UltraMiniO |
Vessels, angiogenesis, cell morphology, |
2.6 |
1.4 |
10 |
60 |
240 |
CerboFlex |
Deep brain imaging for permanent implementation on freely moving animals |
0.35 |
3.3 |
15 |
0 |
325 |
Software for controlling the measurement is very simple and intuitive. There is possibility to start/stop recording, add markers to video or change intensity of lasers in any moment of entire experiment. Captured images can be then exported to video and image formats such as avi, tiff or mkt, which can be further used for post-processing.
ICviewer is a software for post-processing of recorded data which runs under the MS Windows environment. Besides common post-processing options, there are available specialized toolboxes for automatic vessel detection and mosaicking of images allowing automatic merging of images captured during lateral move of the probe and thus create single merged image.
© 2014 Fyziologický ústav AV ČR