Products reviews
Meade 90AZ-ADR Telescope$170.00 to $200.00
Tags:meade, 90az-adr, telescope, | Tasco 49060700 (60 x 700mm) Telescope$54.00 to $90.00
Tags:tasco, 49060700, 60, x, 700mm, telescope, | Celestron Omni XLT 127 (300 x 127mm) Telescope$573.00 to $629.00
Tags:celestron, omni, xlt, 127, 300, x, 127mm, telescope, |
Celestron NexStar 5 SE (300 x 44.45mm) Telescope

Featuring high-quality Schmidt-Cassegrain optics, the NexStar 5 SE is an ideal telescope for observing and photographing the wonders of space. With a total weight of 28 lbs including the tripod, the ultra portable 5 SE features a precision optical system with 1,250 mm focal length (f/10) standard with our premium StarBright XLT coatings and offers 56% more light gathering power than a 4" model.Minimize
Celestron CPC 1100 GPS (XLT) (70 x 280mm) Telescope

The largest aperture of the CPC GPS line, The CPC 1100 GPS Schmidt-Cassegrain telescope has the most light gathering power and has a limiting magnitude of nearly 15. The CPC 1100 GPS takes full advantage of its vast database of thousands of NGC and Abell galaxies as well as delivering a new level of detail to all your favorite deep sky objects. This CPC 1100 GPS features Celestron's premium StarBright XLT coatings.Minimize
Celestron CPC 925 XLT (555 x 235mm) Telescope

Celestron Professional Computerized (CPC) Series with revolutionary SkyAlign Alignment Technology redefines everything that amateur astronomers are looking for quick and simple alignment, GPS, unsurpassed optical quality, ease of set-up and use
Meade DS-2080ATS Telescope

Meade Digital Series telescopes bring microprocessor technology and the very latest in electromechanical design to the serious beginning or intermediate observer. Completely re-engineered and redesigned, Meade DS-2080AT telescopes provide extremely smooth motions in both altitude and azimuth, and, most importantly, include a fully integrated Autostar control system as standard equipment. Oversize bearings on both telescope axes of all models negate the imprecisions found universally, virtually without exception, on competing models.Minimize


