Products reviews
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 70 EQ 21037 (35 x 70mm) Telescope$100.00 to $119.00
Tags:celestron, powerseeker, 70, eq, 21037, 35, x, 70mm, telescope, | Bushnell Voyager 78-9970 (100 x 70mm) Telescope$107.00 to $137.00
Tags:bushnell, voyager, 78-9970, 100, x, 70mm, telescope, |
Celestron PowerSeeker 70 EQ 21037 (35 x 70mm) Telescope

Celestron’s PowerSeekers include a full range of eyepieces plus a 3x Barlow lens that provides an increase in viewing power hundreds of times greater than that of the unaided eye!
Meade NG-70 (140 x 70mm) Telescope

Recently upgraded from 60mm to 70mm aperature, Meade's NG70 telescope combines improved light-gathering ability with light-loss-reducing special optical coatings to produce noticeably sharper images of both celestial and terrestrial objects, making for a much better viewing experience. All the major planets except Pluto are clearly visible. The Moon stands out in near three-dimensional detail, revealing craters, mountain ranges, and fault lines. Dozens of external galaxies are visible; and, in our own Milky Way, this telescope displays hundreds of nebulae, star clusters, double and multiple stars, and variable stars.Minimize
Celestron PowerSeeker 114 EQ Telescope

Powerseeker 114 EQ 4.5''/900mm f/8 Newtonian Reflector Telescope with German-Type Equatorial Mount & Tripod
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