Products reviews
Celestron PowerSeeker 50 Telescope$35.00 to $50.00
Tags:celestron, powerseeker, 50, 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, |
Meade LXD75AR-6 Telescope
Diffraction-Limited Optics Meades Schmidt-Newtonian and Schmidt-Cassegrain optics yield pinpoint stellar images over an extremely wide field-of-view with only half the coma of standard Newtonians of the same focal ratio.
Bushnell NorthStar 78-8831 (525 x 76mm) Telescope
A "talking" high power reflector telescope. Up to 525x magnification and 3-inch reflector mirror. With the touch 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
Carson Optical SkyView SV-350 Telescope
The Carson(tm) Optical SkyView(tm) 70-mm refractor telescope is designed to be rugged, trouble-free and easy-to-operated for the beginning observer. It features a focal length of 350 mm, a 45-degree diagnol, a power range of 14X to 87X, and an adjustable
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