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Elipse ts2r

Manufactured by Nikon
Sourced in Japan

The Nikon Eclipse Ts2R is a compact and versatile inverted microscope designed for a variety of laboratory applications. It features a high-quality optical system, a motorized stage, and various illumination options to facilitate efficient observation and analysis of samples.

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2 protocols using elipse ts2r

1

Intracellular ROS Levels Quantification

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Intracellular hydrogen peroxide and superoxide anion levels were evaluated using 2′,7′-dichlorofluorescin diacetate (DCFDA; Sigma-Aldrich, St. Louis, MO, USA) and dihydroethidium (DHE; Sigma-Aldrich, St. Louis, MO, USA). Briefly, HepG2 cells were cultured in 6-well plates and exposed to 20, 40, and 80 µM TEB or DMSO for 24 h with or without pretreatment with Lipofermata (20 µM in DMSO) for 1 h (n = 3 wells/group). After treatment with 10 µM DCFDA and DHE, the cells were incubated at 37 °C for 30 min in a 5% CO2 incubator. After washing thrice with PBS, green fluorescence (DCFDA-positive) and red fluorescence (DHE-positive) areas were imaged using a Nikon Eclipse Ti2-U and Nikon Elipse Ts2R camera. Fluorescence intensities were quantified using ImageJ software version 1.52a (National Institutes of Health, Bethesda, MD, USA).
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2

Intracellular Lipid Quantification in HepG2 Cells

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Intracellular neutral lipid such as triglycerides and cholesterol esters were evaluated using Oil red O dye (Sigma-Aldrich, St. Louis, MO, USA). HepG2 cells were seeded at a density of 2 × 105 cells/well into 6-well plates and treated with 80, 160, and 320 µM FTF or 0.008% DMSO for 24 h (n = 3 wells per group). The cells were fixed with 10% formalin of 2.4 mL for 1 h at room temperature, and the fixed cells were rinsed with 60% isopropanol. Then, Oil red O staining solution of 1 mL was added to each well. After incubation for 10 min, the cells were washed with deionized distilled water thrice to remove the unbounded dye. Images were visualized and captured using a Nikon Eclipse Ti2-U and Nikon Elipse Ts2R camera (Nikon Co. Ltd., Tokyo, Japan). Then, the images were quantified using ImageJ software (National Institute of Health, Bethesda, MD, USA).
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