12 Well Cell Culture Plate, Flat, TC Treated, Sterile, Bulk Wrapped In Plastic (Cat. No. 712002)
Key Features
Bulk Wrapped - 10 per plastic bag- 50 plates per case
12 wells
TC treated - plasma etched for adherent cells
Flat bottom wells
3.6 cm² growth area per well
0.76-1.14mL/760uL-1140uL media per well
Product Details
Optically clear USP grade VI virgin polystyrene - ideal for microscopy
Alphanumeric markings for easy sample ID
SBS/ANSI Footprint, suitable for automation
Raised edges to slow evaporation
Small feet on the bottom of the plate to prevent scratching microscope objectives
Clear lot number printed on each flask for traceability
Notched bottoms with raised edges for stable stacking
Cleanroom friendly packaging, no fibers to shed
High throughput friendly, no need to unwrap 10 individual plates
The most cost effective packaging type
Packaging is a fully recyclable polypropylene film
More ecologically friendly, the least packaging waste per plate
Quality Details
Manufactured in cGMP (21 CFR part 820/821) compliant factory
Produced in ISO 13485:2016 and ISO 9001 facility
Molded and packed in ISO 7 cleanroom
E-beam sterilized and lot tested to SAL 10^-6
Lot tested free of pyrogens USP 85
Lot tested free of cytotoxins/pyrogens In Vivo USP 88 and In Vitro USP 87
Lot tested free DNase/RNase and DNA
Lot tested free BSE/TSE
Certified free of animal products
Nest tissue culture plates are designed for growing multiple cell cultures simultaneously. They are available in 6, 12, 24, 48, 96, and 384-well formats, with options that are tissue culture treated for adherent cell lines or left untreated for suspension cell lines. Plate configurations include flat, round (U), and V-bottom wells to suit different applications.
All Nest plates feature alphanumeric well markings for easy identification and raised well rims that help minimize evaporation and cross-contamination. Grooves and support feet ensure stable stacking, while the SBS/ANSI standard footprint makes them fully compatible with automated plate handlers, making them ideal for high-throughput workflows.
