Products reviews
Celestron CPC 1100 GPS (XLT) (70 x 280mm) Telescope$2,799.00
Tags:celestron, cpc, 1100, gps, xlt, 70, x, 280mm, telescope, | Carson Optical SkyView SV-350 Telescope$53.00 to $196.00
Tags:carson, optical, skyview, sv-350, telescope, | Celestron NexStar 80 SLT 22086 (100 x 80mm) Telescope$200.00 to $380.00
Tags:celestron, nexstar, 80, slt, 22086, 100, x, 80mm, telescope, |
Tasco 49070800 Spacestation(r) 70az Refractor Telescope (600 x 70mm)
With its 70mm lens and all the bells and whistles, the Tasco Spacestation 70AZ is ideal for both the beginner and amateur astronomer.
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
Galileo FS-80 Telescope
The Galileo FS-80 reflector telescope is a great beginner's reflecting telescope. The large 80mm primary mirror cell collects 33% more light than a 60mm refracting telescope. 1.25 focus housing permits the use of larger higher quality 1.25 eyepieces. Yoke mount makes the telescope easy to manage through altitude / azimuth (Up & Down, Left & Right) movement, and altitude slow motion control rod for precision adjustmentsMinimize
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