Products reviews
Celestron Omni XLT 127 (300 x 127mm) Telescope$573.00 to $629.00
Tags:celestron, omni, xlt, 127, 300, x, 127mm, telescope, | Tasco 49060700 (60 x 700mm) Telescope$54.00 to $90.00
Tags:tasco, 49060700, 60, x, 700mm, telescope, | Celestron PowerSeeker 114 EQ Telescope$86.00 to $150.00
Tags:celestron, powerseeker, 114, eq, 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 NexStar 130SLT (31145) (306 x 130mm) Telescope

Computerized hand control with 4,000-object database SkyAlign allows you to align on any 3 bright celestial objects Motorized Altazimuth mount Focal ratio: f5 Focal length: 650mm
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


