Always Calibrated.
最大精度。
自动化是Senterra II的关键功能。它允许用户专注于必不可少的东西:分析问题,拉曼测量,更重要的是,the results.
SENTERRA II技术特点:
Senterra II.applications:
First, the SENTERRA II is fully automated including self-diagnosis and instrument tests like OQ and PQ. Change a laser by a simple mouse-click and afterwards, filter and grating are adjusted automatically.
其次,将这种自动化在全面使用,我们重新校准并创造了专利的仇恨TM技术。It continuously recalibrates the device and allows permanent sub-wavenumber precision.
第三,这是关于用户安全 - 特别是当初学者或学生参与时。1类激光壳体和联锁始终保护任何有害激光辐射的用户。
当然,Senterra II提供出色的灵敏度,与原始光谱和拉曼成像性能相结合。但是这种共聚焦拉曼显微镜的真正强国是我们的仇恨TM技术。
Let us briefly repeat one of the most important principles of Raman technology: External factors affect the optical and mechanical components in every Raman microscope, especially heat, component changes and vibrations. Ultimately, this induces wavenumber shifts, which must be compensated by regular recalibrations.
Thanks to SureCalTM,Senterra II是唯一的拉曼显微镜总是calibrated. Don't waste your valuable time with recalibration - start analyzing. No matter if it is a quick material identification or the collection of large data sets for PCA or other statistical methods.
Senterra II也可以配置有倒置显微镜,而不会影响任何功能。倒置拉曼显微镜可提供样品处理的开放访问,这在活组织和细胞的表征中特别有利。
Besides cell research, the inverted microscope also brings advantages in researches like in vitro pharmaceutical verification and in situ Raman measurement that requests better access to the microscopic stage.
We developed a powerful Raman microscopy platform for all kinds of applications. Its high degree of automation, compact size and efficient workflow, make the SENTERRA II an ideal tool to solve real world tasks in a quality control laboratory or to discover and pioneer in scientific research.
艺术保护和恢复
法医科学
Pharmaceuticals
Polymers & Plastics
材料科学
环境的Studies
Highlight:Python脚本界面实现为Opus
In OPUS 8.7 SP1, we have made it easier to use customized data processing and evaluation methods with our new Python environment within OPUS. It opens a door for the users who need special algorithms for the data. The python script can be executed in OPUS right after the Raman measurement. Make the post-processing truly yours and enjoy all the power you can bring to the routine measurements with Python.
Highlight:新的自适应K-Means聚类功能的高性能化学图像生成
我们还发布了一个新的拉曼数据分析功能自适应k-means群集。它是在构建Python环境的帮助下创建的。通过这种新功能,您可以在测量后直接生成化学成像,而无需选择特定的拉曼峰。系统将自动对谱分类为组并自行生成拉曼图像。对于使用已知样本的应用,例如具有几个API的药物片剂,该功能可以立即提供用户拉曼图像并节省大量时间。对于未知样品的实验,通过自动拉曼成像方法,如果样品均匀或化学结构,则用户可以一目了然地讲述。
其他新功能availa on SENTERRA II:
Learn more about our Raman products and solutions by downloading related literature.