Products reviews
Bushnell Sky Tour 78-9930 Telescope$120.00 to $145.00
Tags:bushnell, sky, tour, 78-9930, telescope, | Celestron AstroMaster 90AZ (50 x 90mm) Telescope$199.00 to $270.00
Tags:celestron, astromaster, 90az, 50, x, 90mm, telescope, | Celestron PS 60 (175 x 60mm) Telescope$39.00 to $63.00
Tags:celestron, ps, 60, 175, x, 60mm, telescope, |
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
Meade LXD75AR-6 Telescope
Diffraction-Limited Optics Meades Schmidt-Newtonian and Schmidt-Cassegrain optics yield pinpoint stellar images over an extremely wide field-of-view with only half the coma of standard Newtonians of the same focal ratio.
Galileo FS-80 Telescope
The Galileo FS-80 reflector telescope is a great beginner's reflecting telescope. The large 80mm primary mirror cell collects 33% more light than a 60mm refracting telescope. 1.25 focus housing permits the use of larger higher quality 1.25 eyepieces. Yoke mount makes the telescope easy to manage through altitude / azimuth (Up & Down, Left & Right) movement, and altitude slow motion control rod for precision adjustmentsMinimize
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