Products reviews
Celestron PowerSeeker 127 EQ 21049 (750 x 127mm) Telescope$120.00 to $160.00
Tags:celestron, powerseeker, 127, eq, 21049, 750, x, 127mm, telescope, | Celestron NexStar 102 SLT (200 x 102mm) Telescope$410.00 to $480.00
Tags:celestron, nexstar, 102, slt, 200, x, 102mm, telescope, | Celestron PowerSeeker 70 EQ 21037 (35 x 70mm) Telescope$100.00 to $119.00
Tags:celestron, powerseeker, 70, eq, 21037, 35, x, 70mm, telescope, |
Bushnell NorthStar 78-8845 (675 x 114mm) Telescope
Our most powerfull, advanced technology reflector telescope with up to 675x magnification and massive 4 1/2 inch reflector mirror. "Goto" Computerized tracking technology. Red Dot LED finderscope. Remote hand-held control module. Camera adaptable. Quick release tripod. Kinematic mount. Accessory tray. 20,000 Object Onboard Starfinding Computer. 1.25" Format Eyepieces. Barlow Lens. A great starting telescope!Minimize
Celestron NexStar 8 SE (480 x 203mm) Telescope
The distinctive patented fork arm with ergonomically designed integrated hand control cradle gives solid support to Celestron’s classic 8" optics. The NexStar 8 SE features Schmidt-Cassegrain 8" aperture optics with our premium StarBright XLT coatings and a powerful 2,032mm focal length and f/10 focal ratio.
Celestron PowerSeeker 70 EQ 21037 (35 x 70mm) Telescope
Celestron’s PowerSeekers include a full range of eyepieces plus a 3x Barlow lens that provides an increase in viewing power hundreds of times greater than that of the unaided eye!
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