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Microplate Imagers

全自动智能成像分析系统和成像多功能微孔板检测仪可实现增强显微成像

Agilent BioTek 自动成像仪和细胞成像多功能微孔板检测仪可提供通用性、高性能和高价值,助力您的科学研究。Gen5 软件支持增强显微成像的自动化流程,有助于采集高品质图像,应用强大的图像处理和分析工具,产生高质量图像和数据。Agilent BioTek Lionheart 全自动智能成像分析系统支持固定细胞与活细胞的成像和分析。模块化 Cytation 仪器系列可轻松配置,可在一个平台上包含共聚焦和宽视场倒置显微镜、自动正置显微镜以及多功能检测,适合多种应用,可通过一台仪器获得定量和表型结果。

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Featured Literature

Super Charge Your Cell Research: Agilent Cell Analysis Portfolio

Maximize your workflow efficiency and produce robust data with Agilent solutions in cell analysis.

Automated Imaging and Dual‑Mask Spot Counting of γH2AX Foci to Determine DNA Damage on an Individual Cell Basis

This application note demonstrates an automated γH2AX assay workflow using a novel cell imaging multimode reader with advanced data analysis capabilities.

Multiplexed Detection of Cytokine Cancer Biomarkers using Fluorescence RNA In Situ Hybridization and Cellular Imaging

The goal of this application note is to demonstrate how in situ fluorescence hybridization experiments can be successfully imaged and analyzed using the Cytation.

High-Throughput Methods to Quantitatively Evaluate TGF-β Signaling in Angiogenesis

Rigorously validated antibody reagents from Cell Signaling Technology, combined with the multifunctional capabilities of the Agilent BioTek Cytation C10 confocal imaging reader, enable robust, quantitative analysis of TGF-β and BMP pathway activation at different biological scales.

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Agilent BioTek Lionheart Technology: Driving physiological relevance in early drug discovery

This presentation focuses on the ability to build a comprehensive story from drug screening to histological confirmation through a combinatorial approach on a single platform.
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Expression and Intracellular Translocation of Cancer Biomarkers

Hepatocarcinoma is one of the most common cancer types in the U.S. with limited treatment options and poor survival rate. Recently, cancer bioenergetics emerged as a promising source of targets to develop novel anticancer agents.
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From Cells to Spheroids: High-throughput Methods to Quantitatively Evaluate TGF-β Signaling in 2D and 3D Cellular Models

Understanding disease processes at different levels of biological complexity is critical for gaining a holistic understanding of disease mechanisms.
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