Products reviews
Celestron NexStar 102 SLT (200 x 102mm) Telescope$410.00 to $480.00
Tags:celestron, nexstar, 102, slt, 200, x, 102mm, telescope, | Bushnell NorthStar 78-8831 (525 x 76mm) Telescope$183.00 to $241.00
Tags:bushnell, northstar, 78-8831, 525, x, 76mm, telescope, | Celestron PowerSeeker 114 EQ Telescope$86.00 to $150.00
Tags:celestron, powerseeker, 114, eq, 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
Tasco Specialty 49TN Telescope

A classic, hand-held telescope with a gleaming brass finish and leatherette trim. Extends from 5.25" to 14" and includes an attractive leatherette carry case with wrist strap and belt loop.
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
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


