ZEISS miLOOP Removing the challenge of dense cataracts.

The miLOOP® from ZEISS is a game-changing microinterventional lens fragmentation device which is designed to remove the challenges of hard cataracts. Using micro-thin super-elastic, self-expanding nitinol filament technology, the ZEISS miLOOP allows cataract surgeons to achieve zero-energy lens fragmentation for any grade cataract.1

  • Reduced phaco energy and fluid use
  • Minimal stress to capsule and zonules
  • Reduced procedure time

Significantly reduce overall phaco energy and fluid use for dense cataracts

A randomized controlled study in the British Journal of Ophthalmology showed that using ZEISS miLOOP in hard grade 3-4+ nuclear cataracts reduces phaco energy by up to 53% and therefore also ultrasonic vibrations. The same study also confirms that using ZEISS miLOOP significantly lowers the surgical irrigation fluid volume used per case by up to 30%.1

Product animation video

Apply minimal stress to the capsule and zonules

ZEISS miLOOP is engineered to minimize capsular and zonular stress. It allows out-in nucleus disassembly that directs the force used to divide the lens inwards, while conventional techniques employ in-out lens cutting with adjunct phaco-energy.1

Demonstration video

Reduced procedure time and easier cortical cleanup

In a 2019 surgeon survey, the majority of trained ZEISS miLOOP surgeons report a perceived reduction in overall procedure time with ZEISS miLOOP.2 Furthermore, 84% of the surgeons report an easier cortical cleanup during irrigation/aspiration with the use of ZEISS miLOOP. 2

Clinical case video

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lens fragmentation

Phaco energy emitted
Cataract range
suitable for any grade cataract
memory shaped super-elastic thin nitinol filament
~15 cm
  • 1

    Ianchulev T, Chang DF, Koo E, et al Microinterventional endocapsular nucleus disassembly: novel technique and results of first-in-human randomised controlled study. British Journal of Ophthalmology April 2018.   

  • 2

    internal user survey, n=279, lantech Data Analytics 20190708 PPT, data on file