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细胞成像和显微检测系统

用于自动化图像采集及分析的细胞成像与显微检测系统

Agilent BioTek 自动细胞成像仪和显微镜可助力您的科学研究,能够轻松采集高品质的图像,具备Z 轴层切、蒙太奇以及延时序列采集功能。这些仪器可配备高达 100x 物镜,加上明场、彩色明场、相差和荧光通道,支持包括活细胞动力学在内的各种显微成像工作流程。紧凑的模块化系统可实现自动化的图像采集、处理和分析工作流程,提供满足实验室预算的高性价比。产品系列提供全面的采集模式,包括荧光、明场、高对比度明场、相差和彩色明场。Agilent BioTek Gen5 软件可控制仪器并提供直观的编程和分析。

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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.

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.

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.

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专题培训与活动

Advancing Neurobiology Research: Quantify Neurite Outgrowth with a Powerful Automated Solution

Neurite outgrowth assays provide a means to investigate key neuronal functions in vitro and advance both fundamental and clinical neuroscience research.
网络研讨会/培训

Advances in Automated Imaging-based Characterization of 3D Tissue Models using Novel High-throughput Cell Culture Platforms

For this global webinar event we are excited to feature two presentations from Agilent BioTek’s Augmented Microscopy Virtual Summit featuring innovative high-throughput platforms for generating and testing 3D tissue models.
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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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