PolyAn is the European distributor of the nitrocellulose based microarray product families developed by Grace Bio-Labs.
ONCYTE® porous nitrocellulose (PNC) slides are the optimal high binding protein microarray substrate technology available. Invented by Grace Bio-Labs scientists, the three dimensional microporous film cast on a variety of solid surfaces (vis. glass, plastic, gold, tantalum) is comprised of a nitrocellulose polymer and proprietary chemistry that retains stable protein quaternary conformations providing ideal microarray substrate for a variety of applications. ONCYTE® film provides an excellent surface when performing reverse phase protein arrays (RPPA), antibody arrays, antigen or peptide arrays whether using colorimetric,fluorescent or near infra-red detection systems.
|Dynamic range (log scale fluorescence)||5-6||5-6||7+||4-5|
|Applications||Best for any application requiring high binding capacity and colorimetric detection.||Reduced fluorescence background with lower binding capacity than AVID. Good signal-to-noise ratio for fluorescence detection.||Second generation NOVA, lowest fluorescence background, high binding capacity. Best for fluorescence detection and large dynamic range.||Lowest fluorescence background, lower binding capacity, reduced dynamic range. Best signal-to-noise ratio for fluorescence detection.|
The ONCYTE™ and SuperNOVA™ slides are available as single film or in various multi-pad formats. The film is compatible with fluorescent, chemoluminescent, radiographic, and colorimetric detection systems. It is manufactured to the highest standards, providing excellent reliability and reproducibility.
The PATH® Protein Microarray Slide is coated with an ultra-thin nitrocellulose film for the noncovalent, yet irreversible, binding of printed antibodies to the slide surface while maintaining antigen binding capability. PATH® slides provide maximum reliability, sensitivity, and reproducibility of multiplex protein microarray immunoassays, in addition to reducing background fluorescence and maximizing signal-to-noise ratios.