Products reviews
Bushnell NorthStar 78-8831 (525 x 76mm) Telescope$183.00 to $241.00
Tags:bushnell, northstar, 78-8831, 525, x, 76mm, telescope, | Educational Insights 5273 (80 x 50mm) Telescope$63.00 to $90.00
Tags:educational, insights, 5273, 80, x, 50mm, telescope, | Celestron PowerSeeker 114 EQ Telescope$86.00 to $150.00
Tags:celestron, powerseeker, 114, eq, telescope, |
Celestron NexStar 130SLT (31145) (306 x 130mm) Telescope

Computerized hand control with 4,000-object database SkyAlign allows you to align on any 3 bright celestial objects Motorized Altazimuth mount Focal ratio: f5 Focal length: 650mm
Bushnell NorthStar 78-8890 (300 x 90mm) Telescope

The NorthStar® telescopes offer amateur astronomers state-of-the-art computer-driven location and tracking capability with simple, push-button control. With a built-in data base of 20,000 celestial objects, you simply call up your target on the hand-held control module, enter a simple "Go To" command and the NorthStar computer does the rest. Once locked on, tracking the object for prolonged viewing is automatic. The innovative RVO (Real Voice Output) feature provides a fun, interactive way to explore the night sky. The remote, hand-held control module features red, backlit push buttons and a red, illuminated LCD read-out for easy viewing without impairing your night vision. Minimize
Tasco 49060700 (60 x 700mm) Telescope

For those who want to experience astronomy but not get too committed, the Tasco Spacestation 60AZ may be the perfect scope for the first.
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


