MATRIX
STED reloaded
Many eyes see more than one – this is the motto behind our brand new MATRIX detectors. Numerous photodiodes integrated in a single detector chip view the sample from different angles and allow you to see things that you couldn’t otherwise. The MATRIX detector drastically improves signal-to-background ratio, resolution, and dynamic range!
10um
Regular STED
MATRIX STED
Description
Actin in microvilli of Caco2 cells. Fixed cells were stained with abberior STAR RED Phalloidin. MATRIX detection removes background signal and dramatically improves optical sectioning for 2D-STED.
Samples by Prof. Dorothee Günzel & Roman Mannweiler, Institut für Klinische Physiologie, Charité – Universitätsmedizin Berlin
Expert Devices:
MATRIX Detector
10um
Regular STED
MATRIX STED
Description
Cultured mammalian cells (NUP, Giantin, and Vimentin, labeled with abberior STAR Red, STAR Orange, STAR Green). Out-of-focus contributions of all three types of structures is effectively removed and section is improved.
Expert Devices:
MATRIX Detector
5um
Regular STED
MATRIX STED
Description
Four xy-planes from a volume stack recording of nuclear pore complexes (NUPs). With MATRIX, nuclear pores that are not in focus are effectively removed from the image.
Expert Devices:
MATRIX Detector
2um
Regular STED
MATRIX STED
Description
Nuclear pores with EASY3D STED. Background removal with MATRIX is particularly advantageous with 3D-STED.
Expert Devices:
MATRIX Detector
5um
Regular STED
MATRIX STED
Description
Vero cell, vimentin is labeled with abberior STAR RED. Note how in areas, where vimentin is thick, MATRIX removes background, while keeping the fibers in the foreground intact.
Expert Devices:
MATRIX Detector
MATRIX
what it is
Our MATRIX detectors consist of multiple avalanche photo diodes (APDs) with an extraordinarily high quantum efficiency (over 50 % at 500 nm) in a hexagonal arrangement on a single detector chip. Essentially, taking STED images with over 20 instead of just one eye unravels a whole new dimension of data.
Recording STED images with point detectors typically leads to images with high background levels, because the STED-donut throws out low-resolution signal in the focal plane (after all, this is what it’s supposed to do), while it leaves the background largely untouched. Since STED microscopy is a scanning method, a confocal pinhole can be used to improve the signal-to-background ratio, but for many samples, this is not enough.
With MATRIX detection, the background contribution for every pixel is measured and subtracted using physical principles. It’s not at all just another type of estimation procedure such as deconvolution or denoising. Due to its over 20 elements, the MATRIX detectors can truly measure the amount of background and remove it in the best possible way.
This way, you get STED images with drastically reduced background levels. And this in turn hugely improves analysis and post-processing, whether its particle counting, size estimation, intensity measurements, smoothing, or deconvolution. All this works better, because MATRIX images provide 100% physical superresolution without background fluorescence.
Just like our standard APDs, the MATRIX detectors work with our RAINBOW spectral detection, which allows you to freely choose the detection band for every MATRIX. Yes, of course you can have more than one in a system, why?
MATRIX
how it works
Look at your thumb with an extended arm and with one eye closed. Now close the first eye and open the other one: your thumb will seem to jump sideways in front of whatever is in the background. Cleary, having two eyes (detectors) allows you to distinguish between foreground and background without any mathematical, artefact-generating post-processing algorithm – the simple fact that your thumb moves in front of the background is enough to tell the two apart. You know you have a real breakthrough when something is simple and effective… And with over 20 detectors, background contribution is fully defined and removed from your image, while others have the vision of a one-eyed pirate.
Superior STED with the MATRIX
Effective background reduction without artefact-prone mathematical estimation algorithms
Highly improved optical sectioning
Enables precise analysis of your image data
描述 [描述] Numerous photodiodes integrated in a single detector chip view the sample from different angles and allow you to see things that you couldn’t otherwise.