SENTERRA II

Senterra II는 기능을 손상시키지 않고 도립형 현미경(Inverted Microscope)으로 구성 할 수도 있습니다. 도립형 라만 현미경은 시료 처리를 위한 개방형 액세스를 제공하며, 이는 특히 살아있는 조직 및 세포의 특성화에 유리합니다.

세포 연구 외에도 도립형 현미경은 (Inverted Microscope) 현미경 단계에 대한 더 나은 접근을 요구하는 체외 제약 검증 및 현장 라만 측정과 같은 연구에서 이점을 제공합니다.

Highlight: Python Script Interface implemented into 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: High Performance Chemical Image Generation by New Adaptive K-means Clustering Function

We also released a new Raman data analysis function Adaptive K-means Clustering. It was created with the help of the build-in Python environment. With this new function, you can generate a chemical imaging directly after the measurement without the need of selecting specific Raman peak at all.  The system will sort the spectra into groups automatically and generates Raman images all by itself. For the applications that use a known sample, for instance a pharmaceutical tablet with several APIs, this function can provide the user Raman image immediately and save a lot of time. For the experiments of unknown samples, with the automatic Raman imaging method, users can tell at a glance if the sample is homogeneous or structured chemically.

Other new functions availa on SENTERRA II:

• “Cluster ID” Function for Identification of Classes in 3D Spectral Data
• "Find Particles" function now contains a novel particle detection method
• SENTERRA II now operates under new OVP-X routine