Products reviews
Celestron CPC 925 XLT (555 x 235mm) Telescope$2,499.00
Tags:celestron, cpc, 925, xlt, 555, x, 235mm, telescope, | Bushnell NorthStar 78-8890 (300 x 90mm) Telescope$315.00 to $365.00
Tags:bushnell, northstar, 78-8890, 300, x, 90mm, telescope, | Meade 90AZ-ADR Telescope$170.00 to $200.00
Tags:meade, 90az-adr, telescope, |
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
Celestron PowerSeeker 114 EQ Telescope
Powerseeker 114 EQ 4.5''/900mm f/8 Newtonian Reflector Telescope with German-Type Equatorial Mount & Tripod
Celestron NexStar 102 SLT (200 x 102mm) Telescope
The popularity of our previous short tube refractor models inspired us to go a step further with the introduction of our NexStar 102 SLT. You'll find that astronomical viewing is a delight with this large, powerful 4 telescope.
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