ZEISS Master Class

Join us at The Medical City

June 11, 2021, at 3 p.m.

.. Days .. Hours .. Minutes .. Seconds

ZEISS Master Class

In collaboration with The Medical City, we are excited to host a ZEISS On Your Campus (ZOYC) on June 11 and June 18. ZOYC is a free, educational workshop consisting of two master classes for doctors, medical technologists, and any TMC staff interested in digital microscopy innovation.

Visit ZOYC to:

  • Learn how to digitise your specimens with Axioscan 7
  • Dive into deep learning
  • Discover the ideal confocal microscope platform for 4D imaging with the ZEISS LSM 9 family
  • Manage your data with ZEISS ZEN Connect

See you there!

Part 1: Digital Slide Scanning & Image Archiving

11 June, 2021

Benjamin Te, Account Manager

Microscopy slide scanner ZEISS Axioscan 7, equipped with ZEISS Colibri 7 for fluorescence applications

ZEISS Axioscan 7 - Your High-performance Slide Scanner for Fluorescence, Brightfield and Polarization
Digitize your specimens with Axioscan 7 – the reliable, reproducible way to create high-quality virtual microscope slides. Axioscan 7 combines qualities that you would not expect to get in a slide scanner: high-speed digitization and outstanding image quality, plus an unrivalled variety of imaging modes are all available in a fully automated and easy to operate system.

The most challenging research tasks and your routine scanning applications are supported by powerful hardware and perfectly featured software. Capture virtual slides quickly with high-speed scanning while retaining consistently high quality, whether you want to capture brightfield, fluorescence or polarized light images.

Dr. Siang Hui Lim, Senior Product & Application Specialist

TMC Reactor
Dr. Marc Joseph Oliver V. Buensalido, Department of Neurology

Slide Scanning within the ZEN Environment
ZEN Slidescan is integrated within the powerful ZEN imaging software universe, which provides access to numerous additional processing and analysis functions. ZEN Connect, the ZEISS software for correlative microscopy, enables more advanced workflows from automated slide scanning to detailed studies on other microscope systems. With ZEN Data Storage and ZEN Data Explorer, you can access and share your scanned data from anywhere, at any time.

Dr. Siang Hui Lim, Senior Product & Application Specialist

Part 2: Confocal Microscopy & Machine Learning

18 June, 2021

Benjamin Te, Account Manager

ZEISS LSM 900 with Airyscan 2: Your next-generation confocal for fast and gentle Multiplex imaging
Over the last 25 years, the Laser Scanning Microscope (LSM) has become the standard technique for most fluorescence microscopy imaging applications. The increased use of confocal microscope in basic biomedical research can be attributed to their ability to produce high-contrast, optically sectioned images while providing enough flexibility to address many application demands. Most commercially available confocal imaging systems have over time developed new approaches to increase image contrast and instrument flexibility.

Yet, what has not changed over time in confocal imaging system is the utilization of a pinhole and a single point detector to achieve spatial resolution and optical sectioning. Therefore, the signal-to-noise ratio (SNR) in which determine the image quality has not been significantly improved. However, with the recent development and market introduction of the Airyscan detector from ZEISS, the traditional pinhole and detector design have been reworked to offer greatly improved resolution and signal-to-noise ratio (SNR).

Airyscanning is a new detection concept that uses an array detector to oversample each Airy disk in order to gain resolution, sensitivity and speed. The revolutionary detection concept allows 2x higher resolution in all three dimensions –thus pushing the boundaries of confocal limit towards superresolution. The seminar will explain how LSM 900 (ZEISS’s new compact confocal laser scanning microscope) together with Airyscan.2 advances fluorescence imaging for biomedical research and sets the benchmark for future confocal LSM imaging.

Dr. Siang Hui Lim, Senior Product & Application Specialist

TMC Reactor
Dr. Roland Gilbert G. Remenyi, The BRU Labs

Machine Learning for Image Analysis
Image segmentation is usually the biggest challenge in image analysis as segmentation lays the foundation for subsequent image analysis steps like data extraction and quantification. Conventional threshold-based image-segmentation methods frequently require a specialized workflow using a combination of digital filters and tools. Moreover, there are datasets where threshold-based methods struggle or fail to generate meaningful results (e.g., images with a low signal to noise ratio).

On the other hand, machine learning offers even non-experts the possibility to create robust and reproducible segmentation results easily. Moreover, machine-learning methods often yield good results with challenging images.

The software module ZEN Intellesis enables easy and precise segmentation of multidimensional images using supervised machine learning. ZEN Intellesis can be trained to identify objects within an image automatically. Through an easy to use, GUI based training interface. APEER is a unique tool that helps users train advanced Deep Neural Networks based models on the cloud, and they deploy these models on easy to use software like ZEN.

This talk will introduce the basics of machine learning and provide an overview of various machine learning approaches and introduce tools such as ZEN Intellesis and APEER. We will also discuss some applications.

Dr. Manoj Mathew, Business Development Manager, Digital Services and Software

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