Products reviews
Bushnell NorthStar 78-8890 (300 x 90mm) Telescope$315.00 to $365.00
Tags:bushnell, northstar, 78-8890, 300, x, 90mm, telescope, | Celestron PowerSeeker 114 EQ Telescope$86.00 to $150.00
Tags:celestron, powerseeker, 114, eq, telescope, | Celestron NexStar 6 SE (354 x 55.88mm) Telescope$790.00 to $1,100.00
Tags:celestron, nexstar, 6, se, 354, x, 55.88mm, telescope, |
Meade LXD75 SN-8 AT (08047502) (500 x 203mm) Telescope

Meade LXD75 SN8-AT UHTC is an 8 inch Schmidt-Newtonian reflector type telescope with 812mm focal length and fast f/4 aperture and Meade Ultra High Transmission Coating, for 20% more image brightness over its non-UHTC sister model.
Bushnell NorthStar 78-8846 (675 x 114mm) Telescope

Real Voice Output version of premier Northstar 675x4.5". With the tough of a button this talking telescope describes the wonders of the night sky in a real human voice - an interactive and educational way to explore the universe. "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 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