Products reviews
Celestron NexStar 80 SLT 22086 (100 x 80mm) Telescope$200.00 to $380.00
Tags:celestron, nexstar, 80, slt, 22086, 100, x, 80mm, telescope, | Carson Optical SkyWatcher™ JC-1000 (100 x 60mm) Telescope$47.00 to $108.00
Tags:carson, optical, skywatcher, jc-1000, 100, x, 60mm, telescope, | Meade A 114EQ-ASTR Telescope$129.00 to $177.00
Tags:meade, a, 114eq-astr, telescope, |
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
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
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