Products reviews
Celestron AstroMaster 70EQ (90 x 70mm) Telescope$115.00 to $170.00
Tags:celestron, astromaster, 70eq, 90, x, 70mm, telescope, | Celestron NexStar 4 SE (240 x 102mm) Telescope$499.00 to $900.00
Tags:celestron, nexstar, 4, se, 240, x, 102mm, telescope, | Bushnell NorthStar 78-8890 (300 x 90mm) Telescope$315.00 to $365.00
Tags:bushnell, northstar, 78-8890, 300, x, 90mm, 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 60 SLT (120 x 60mm) Telescope
Our most affordable NexStar telescope turns starry nights into space odysseys. The 60mm refractors come with a fully computerized hand control with a database of over 4,000 celestial objects. With its pre-assembled, adjustable steel tripod, the NexStar 60 SLT can be up and ready to use in a matter of minutes
Celestron NexStar 6 SE (354 x 55.88mm) Telescope
Whether you are a seasoned astronomer looking for a portable scope with advanced features, or just starting your astronomy adventure and looking for an easy way to enjoy the night sky, a NexStar SE will help you take a closer look.
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