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Two-colour (d)STORM imaging of a fixed COS-7 cell: microtubules were immunolabelled with CF®647 conjugate, and mitochondria were immunolabelled with CF®583R conjugate. Image courtesy of Bowen Wang, Michael Xiong, and Professor Ke Xu, College of Chemistry, University of California, Berkeley.
Microscopy & microtechniques
Optimised Antibody Labelling Kits for Super-Resolution Microscopy
Mar 29 2022
The Mix-n-Stain™ labelling kit line from Biotium has been expanded with new kits designed specifically for producing antibody conjugates ideal for super-resolution stochastic optical reconstruction microscopy (STORM). Mix-n-Stain™ STORM CF® Dye Antibody Labelling Kits are available with Biotium’s unique STORM CF® Dyes, which feature exceptional brightness and photochemical properties ideal for STORM imaging. In addition, the kits are optimised to yield a low degree of labelling that is optimal for single molecule localisation microscopy techniques such as STORM.
STORM image quality is highly dependent on the properties of both the fluorophore and antibody conjugate. Specifically, antibodies conjugated to bright fluorophores with robust photo-switching properties at a low degree of labelling are ideal for STORM. However, a convenient method to produce antibody conjugates with a low degree of labelling for STORM is lacking. Moreover, while several red-excited dyes suitable for STORM are available (e.g., AF647, CF®647, CF®660C, and CF®680), there are limited options for green-excited fluorescent probes for multi-colour STORM. With the release of Mix-n-Stain™ STORM CF® Dye Antibody Labelling Kits, Biotium has met this challenge by offering a streamlined solution for producing antibody conjugates optimal for STORM imaging in a variety of colours.
Mix-n-Stain™ STORM CF® Dye Antibody Labelling Kits are available with 8 STORM-validated CF® Dyes with emission ranging from visible red to near-IR. CF®583R and CF®597R are novel green-excited CF® Dyes for multi-colour STORM that were recently published in collaboration with UC Berkeley Professor and STORM scientist Dr Ke Xu, PhD.
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