Products reviews
Celestron AstroMaster 90EQ (100 x 90mm) Telescope$150.00 to $300.00
Tags:celestron, astromaster, 90eq, 100, x, 90mm, telescope, | Celestron PowerSeeker 127 EQ 21049 (750 x 127mm) Telescope$120.00 to $160.00
Tags:celestron, powerseeker, 127, eq, 21049, 750, x, 127mm, telescope, | Celestron PowerSeeker 50 Telescope$35.00 to $50.00
Tags:celestron, powerseeker, 50, 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 4 SE (240 x 102mm) Telescope
Featuring high-quality Maksutov-Cassegrain optics, the NexStar 4SE is an ideal telescope for observing and photographing the wonders of space. With a total weight of 21 lbs including the tripod, the ultra portable 4 SE features a precision optical system with 1,325 mm focal length (f/13) and is the first Maksutov system to ever feature our premium StarBright XLT coatings.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