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Artevo 800

Manufactured by Zeiss
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Sourced in Germany

The ARTEVO 800 is an ophthalmic surgical microscope developed by Zeiss. It provides high-resolution imaging and advanced visualization capabilities to support surgical procedures. The product's core function is to enhance the precision and efficiency of ophthalmic surgeries.

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Lab products found in correlation

Rescan 700, by Zeiss (1 mentions)

3 protocols using artevo 800

1

Technical specifications of 3D-HUS

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ARTEVO 800 (Carl Zeiss Meditec) surgical microscope and visualization systems were used. Zeiss intraoperative Optical Coherence Tomography (OCT) (Rescan 700, Carl Zeiss Meditec) was used wherever intraoperative scanning was required. A 3D video monitor measuring 55″ mounted on a movable cart, allowing adjustments in the total height of the monitor (floor to the topmost point of the display) in the range of 67–72 in, was used.
Gupta Y, & Tandon R. (2022). Optimization of surgeon ergonomics with three-dimensional heads-up display for ophthalmic surgeries. Indian Journal of Ophthalmology, 70(3), 847-850.
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2

3D HUS in Vitreoretinal and Cataract Surgeries

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3D HUS was performed during 5 vitreoretinal and 6 cataract surgeries on 6 eyes of 6 patients by a single surgeon (MI). The surgeries were performed with the Artevo 800® (Carl Zeiss Meditec, Oberkochen, Germany) and the medical image enhancer (MIEr®, Logic & Design, Tokyo, Japan) at 25% intensity of the image-sharpening algorithm with or without 50% color adjustments.
Nakajima K., Inoue M., Takahashi A., Yoshikawa Y., Mizuno M., Koto T., Ishida T, & Oshika T. (2023). Image sharpening algorithms improve clarity of surgical field during 3D heads-up surgery. International Journal of Retina and Vitreous, 9, 21.
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3

4D SS-OCT Intra-surgical Imaging

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The SS-OCT system, which forms the basis of this work, is capable of 4D data acquisition and real-time rendering31 (link). The sample arm of the interferometer is coupled to an ophthalmic surgical microscope (ARTEVO 800, ZEISS, Jena, Germany) with an add-on module for intra-surgical use. In the following sections, the basic properties of the system are introduced with special focus on the image reconstruction pipeline.
Nienhaus J., Matten P., Britten A., Scherer J., Höck E., Freytag A., Drexler W., Leitgeb R.A., Schlegl T, & Schmoll T. (2023). Live 4D-OCT denoising with self-supervised deep learning. Scientific Reports, 13, 5760.
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