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Zen 2 slidescan module

Manufactured by Zeiss

The ZEN 2 slidescan module is a digital microscopy software solution developed by Zeiss. It is designed to capture and manage high-resolution images of microscope slides. The core function of the ZEN 2 slidescan module is to digitize and archive microscopic samples for various applications, such as pathology, research, and education.

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2 protocols using zen 2 slidescan module

1

Quantification of Hepatic Lipid Accumulation

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Livers from male DIO littermate mice were frozen in optimal cutting temperature compound (OCT). Liver sections were cut at 5 μm using a Microm HM 505 E Cryostat (GMI), stained with Oil Red O (ORO) and embedded with Aquamount using #1.5 cover glasses. Slides were scanned on an AxioScan Z1 slide scanner (ZEISS) using a 20x 0.8 numerical aperture objective. Liver autofluorescence was detected in the green channel (excitation: 470/40 nm; dichroic: 495 nm; emission: 525/50 nm), and ORO was detected in the red channel (excitation: 550/25 nm; dichroic: 570 nm; emission: 605/70 nm). The Orca Flash 4.0 v2 camera was used to capture the fluorescent images. Data was acquired with the ZEN 2 slidescan module (ZEISS). Histogram stretching was applied in ZEN 2 to improve contrast on all images. Stitched images were then exported as 100 tiles and of the images that contained regions of tissues, twenty were randomly selected for analysis with ImagePro Premier (v9.1.4, Media Cybernetics). Spatial calibration (0.325 μm per pixel) was applied to images and total tissue area was determined by autofluorescent signal in the green channel. The percent of ORO-positive tissue area was calculated using ImagePro Premier.
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2

Quantification of Hepatic Lipid Accumulation

Check if the same lab product or an alternative is used in the 5 most similar protocols
Livers from male DIO littermate mice were frozen in optimal cutting temperature compound (OCT). Liver sections were cut at 5 μm using a Microm HM 505 E Cryostat (GMI), stained with Oil Red O (ORO) and embedded with Aquamount using #1.5 cover glasses. Slides were scanned on an AxioScan Z1 slide scanner (ZEISS) using a 20x 0.8 numerical aperture objective. Liver autofluorescence was detected in the green channel (excitation: 470/40 nm; dichroic: 495 nm; emission: 525/50 nm), and ORO was detected in the red channel (excitation: 550/25 nm; dichroic: 570 nm; emission: 605/70 nm). The Orca Flash 4.0 v2 camera was used to capture the fluorescent images. Data was acquired with the ZEN 2 slidescan module (ZEISS). Histogram stretching was applied in ZEN 2 to improve contrast on all images. Stitched images were then exported as 100 tiles and of the images that contained regions of tissues, twenty were randomly selected for analysis with ImagePro Premier (v9.1.4, Media Cybernetics). Spatial calibration (0.325 μm per pixel) was applied to images and total tissue area was determined by autofluorescent signal in the green channel. The percent of ORO-positive tissue area was calculated using ImagePro Premier.
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