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Ibidi µ-Slide VI 0.5 Glass Bottom 80607

ibidi GmbH -- Item TECPIM000115267
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The Ibidi µ-Slide VI 0.5 Glass Bottom 80607 is a microslide with a 0.5-mm thick glass bottom that is designed for live-cell imaging and high-resolution microscopy. It provides excellent optical quality and is compatible with a wide range of imaging techniques.

- Benefits/Advantages:

- Precise imaging: The 0.5-mm glass bottom enables clear and high-resolution imaging, allowing accurate observation of living cells and small structures.

- Optimal cell growth: The Ibidi µ-Slide VI 0.5 Glass Bottom 80607 provides a suitable environment for cell culture, ensuring optimal growth, viability, and functionality.

- Versatile compatibility: It is compatible with various microscopy techniques, including bright field, fluorescence, phase contrast, and confocal microscopy.

- Easy handling: The slide is designed for user-friendly handling, with wells that prevent cross-contamination and ensure ease of sample loading.

- Secure sealing: The ibidi µ-Slide VI 0.5 Glass Bottom 80607 is compatible with various coverslips, allowing for a tight and secure sealing to prevent evaporation or contamination.

Product Details

Model
Product Type Consumables
Part Number 80607
Brand ibidi GmbH
Gross Dimensions (WxDxH cm)
Net Dimensions (WxDxH cm)
Gross Weight (kg)
Net Weight (kg)

Coverslip Material Glass Coverslip

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ibidi GmbH

ibidi is a leading global supplier for functional cell-based assays and advanced products for cellular microscopy. A shared passion among the team for innovation, quality, service and a strong relationship to the customers, are the keys to ibidi's excellence and success.

ibidi is committed to supplying the highest quality products and service at a good value. Its innovative research tools enabling scientists to achieve outstanding success and breakthroughs in life sciences, pharma, biotechnology, and medical diagnostics. ibidi’s goal is to provide scientists with standardized workflows that result in reproducible and truly objective scientific data, which can also be translated into therapies.