ZEISS FESEM : A Versatile Platform for Material and Biomaterial Imaging & Microanalysis
October 19, Monday 3 PM - 5 PM IST | October 20, Tuesday 3 PM - 5 PM IST
Overview:
ZEISS FESEMs (SIGMA 300 VP ) is a versatile tool for imaging and analytics in Materials and BioSciences.
The efficient 3 step workflow in ZEISS SIGMA 300 VP enables even a novice user to effectively produce repeatable and reliable results. With our GEMINI Technology of having a compound twin doublet objective lens, the low kV imaging of non-conductors and insulators takes the user to next level.
This emphasizes the superior imaging capabilities of ZEISS FESEMs even with a minimal amount of sample preparation. The Software enables you to combine multi-modal imaging in one single platform, to navigate seamlessly to respective ROIs, and combine the functionalities of both an EM and LM.
Key Takeaways
- A complete tool for a core facility with the possibility of integrating with more analytics and in situ applications
- Understanding the importance of multimodal imaging
- How to minimize artifacts and inducing false structures during sample preparation for beam sensitive samples
Schedule
Session 1
- Date: October 19, 2020
- Time: 3 PM to 5 PM IST
- Speaker: Mr. Arul Maximus Rabel - Product and Application Sales Specialist, EM, ZEISS APAC
Session 2
- Date: October 20, 2020
- Time: 3 PM to 5 PM IST
- Speaker: EDAX Product Specialist
Register for the session
Single registration will suffice for both sessions

Speaker Profile: Mr. Arul Maximus Rabel
Product and Application Sales Specialist, EM, ZEISS APAC
Areas of Specialisation:
- Field Emission Scanning Electron Microscopy – Material Science
- Applications Crossbeam+ Fs LASER – Materials
- Bio Sample Preparation for high resolution SEM, TEM Imaging
- Nanoscience and Nanotechnology, Magnetic Nanomaterial applications for Biomedical Applications
- Correlative Microscopy between Light and Electron Microscopes
- Drug delivery and use of imaging in clinical diagnostics
- Machine learning and AI for microscopy