Life Science Week

15th - 17th March 2022

Join us for the virtual ZEISS Life Science Week (15th-17th March 2022) where we highlight the latest developments in microscopy, and more importantly how these technologies have been utilised in day to day research.

Topics range from Laser Scanning Confocal Microscopy, Lattice Lightsheet imaging to Artificial Intelligence. For each topic, you can expect an informative presentation from ZEISS experts followed by engaging discussion from key-opinion leaders and an online demonstration.

Event Overview

Talks

Speaker(s)

 

Deconvolution for Confocal Microscopy: ZEISS LSM Plus and Airyscan jDCV

Dr. Xianke Shi

 

The use of advanced imaging techniques within an imaging facility

Dr. Thomas Zobel

 

Imaging long term dynamics of subcellular structures in biological samples with the ZEISS Lattice Lightsheet 7

Mr. Gavin Symonds

 

Lattice Light Sheet Microscopy in A Core Facility Environment

Dr. Niall Geoghegan

 

ZEISS Lattice Lightsheet 7 in Imaging Facility 101

Dr. Sandra Fok

 

The use of Artificial Intelligence in Light Microscopy

Dr. Mark Stafford & Dr. Shannon Das

 

MetaSystems and Machine Learning: Advances in Integrating Deep Numeral Networks into High Throughput Applications​

Mr. Benjamin Ching

 

Talk 1

Deconvolution for Confocal Microscopy: ZEISS LSM Plus and Airyscan jDCV

Deconvolution is a powerful image processing tool. It was developed initially for widefield fluorescence microscopy but has recently witnessed increased confocal microscopy application. Deconvolution can improve the contrast and signal-to-noise ratio of confocal microscopy. With reduced pinhole size and proper pixel sampling, confocal deconvolution has been proven to increase lateral and axial resolution beyond the theoretical diffraction limit. Airyscan, a 32-channel GaAsP-based super-resolution detector, also benefits from deconvolution. The 32-channel multi-phase raw data provides additional possibilities using a newly developed joint deconvolution algorithm. This webinar will explain the theoretical foundations of ZEISS LSM Plus and Airyscan jDCV and highlight some potential applications.

Speaker

Dr Xianke Shi

Dr. Xianke SHI studied his Ph.D. on Biophysics at the National University of Singapore (NUS) from 2004 to 2008, focusing his research on quantifying biomolecular interactions in living cells and living zebrafish embryos with Fluorescence Correlation Spectroscopy (FCS). From 2008 to 2010, he worked as a postdoctoral fellow at NUS and European Molecular Biology Laboratory Heidelberg, where he continued his work on FCS and light-sheet microscopy. In January 2011, Xianke joined Carl ZEISS Microscopy, South East Asia, as a regional application specialist. He then held several positions in ZEISS, and is currently application and business development manager, APAC. He is specialized in life science light microscope techniques.

  • 8:30 AM IST
  • 11:00 AM SGT/ HKT
  • 12:00 PM JST/ KST
  •  2:00 PM AEDT

Talk 2

The use of advanced imaging techniques within an imaging facility

Abstract incoming. 

Speaker

Dr Thomas Zobel


Thomas did his Diploma thesis in developmental biology on C. Celegans in the group of Prof. Ralf Schnabel in 2009. He got his PhD 2014 working on F-Bar proteins during the development of Drosophila melanogaster at the university of Münster (Prof. Sven Bogdan / Prof. Christian Klämbt). 2014 he moved to the university of Düsseldorf, working as a postdoc at the Center for Advanced Imaging (CAi , apl. Prof. Stefanie Weidkamp-Peters) Since 2018 he is the Head of the Münster Imaging Network (MIN), which was a complete newly started facility. Actually the MIN comprises more than 30 high-end microscopy systems and has more than 350 active users. Other services of the MIN, like the microscopy database OMERO are used by more than 800 students.

Additional he was a co-organizer of a virtual FLIM Workshop 2021. He is also part of GermanBioImaging, which is organizing the biannual Trends in Microscopy conference. Within GermanBioImaging he is co-speaker of the Image data Analysis & Management group and also speaker of the RDM4Mic (Research Data Management for Microscopy) group.

  • 9:30 AM IST
  • 12:00 PM SGT/ HKT
  • 1:00 PM JST/ KST
  • 3:00 PM AEDT
Talk 1

Imaging long term dynamics of subcellular structures in biological samples with the ZEISS Lattice Lightsheet 7

Developments in Lattice Lightsheet technology have enabled researchers to gain new insights into the behaviour of their biological samples. Lattice Lightsheet brings the possibility of very gentle, long term, fast volumetric imaging as a tool to biomedical researchers, whilst at the same time teasing out subcellular structures that provide additional details of the biological structures at play. ZEISS has recently released the new Lattice Lightsheet 7 in a very compact but powerful, flexible and user-friendly instrument accessible to all biologists. The presentation will provide a general introduction to the range of samples that can be used with the Lattice Lightsheet 7, whilst also providing a deeper insight into the technology behind this new instrument. For example the Lattice Lightsheet 7 is unique because it is based on an inverted geometry and permits the use of all standard sample carriers including petri dish and multiwell slides/ chambers.

Speaker

Mr Gavin Symonds

Gavin graduated from The University of Sydney in 1995 with a degree in Science. ​​His interest in optical imaging developed from a project during his studies that ​​involved characterising the behaviour of a benchtop experimental multichannel ​​confocal microscope, and examining the resolution performance of immunogold ​​and silver labelled cells undergoing mitosis. Gavin joined ZEISS in 1995 and has ​​had a variety of roles including technical and application support. Gavin is currently ​​the product manager for the LSM/ Elyra/ Lightsheet portfolios.​​

  • 8:30 AM IST
  • 11:00 AM SGT/ HKT
  • 12:00 PM JST/ KST
  • 2:00 PM AEDT
Talk 2

Lattice Light Sheet Microscopy in A Core Facility Environment

In 2017 the Centre for Dynamic Imaging at WEHI launched their first, custom-built, Lattice light sheet platform. Since then, the platform has been applied to numerous projects such as malaria infection of red blood cells, cell death, cell migration, cell division and many other areas of research at the institute. The system gave unprecedented insights into the dynamic 3-Dimensional nature of cell biology answering challenging questions and leading to new discoveries. In 2020, the centre acquired a ZEISS LLS7 as part of their early access program. This commercial realisation of the lattice light sheet technology introduces a unique inverted optical geometry that allows researchers to image their live biological samples using traditional sample preparation methods and sample holders (i.e. 35mm petri dish). Fast but very gentle live cell volume imaging over extended periods of time is possible with this solution. The presentation will provide introduction to the lattice lightsheet concept and highlight unique ZEISS implementation with application examples. In this talk Niall will give an overview of how the lattice technology sits within a core facility environment, enabling new discoveries across a diverse range of samples and diseases.

Speaker

Dr Niall Geoghegan

Dr Niall Geoghegan is a Senior Postdoctoral Researcher in the Rogers Lab and Imaging Specialist within the Centre for Dynamic Imaging (CDI) at WEHI. He completed a Masters in Electronic and Electrical Engineering at the University of Glasgow in 2010, followed by a PhD in Biomedical Engineering in 2015. During his PhD he focussed on developing time-resolved microscopy techniques to explore the physical properties of cell membranes. In 2016 he joined the CDI at WEHI to construct and run the institute’s first lattice light sheet microscope. Since then, he has helped apply this technology to numerous areas of the institute’s research from cell death to infectious disease.

  • 9:15 AM IST
  • 11:45 AM SGT/ HKT
  • 12:45 PM JST/ KST
  • 2:45 PM AEDT

Talk 3

ZEISS Lattice Lightsheet 7 in Imaging Facility 101

Situated within The University of New Wales (UNSW, Kensington campus) is the Katharina Gaus Light Microscopy Facility (KGLMF). The facility which caters to UNSW and external researchers and students has over 40 imaging instruments including but not limited to fully enclosed epifluorescence microscopes for cell live imaging (ZEISS CD7), confocal microscopes with Airyscan providing greater resolving power to super-resolution microscopes (ZEISS Elyra 7 with Lattice SIM) for that fast but gentle live cell experiment. In this talk, we discuss how the ZEISS Lattice Lightsheet 7 microscope integrates within our large facility, the model we use to hand pick projects fitted for Lattice Lightsheet imaging. Then followed by showcasing a range of samples and applications using this system, together with the challenges met and resolutions. This talk will build a foundation for researchers to enter the Lattice Lightsheet imaging world.

Speaker

Dr Sandra Fok

Sandra Fok is Biomedical Imaging Specialist in the Katharina Gaus Light Microscopy Facility within the Mark Wainwright Analytical Centre. Her key role is in advanced light and optical imaging, where she leads several collaborative microscopy related research projects in specimen preparation, acquisition, and analysis. In addition, she provides research support and trainings. She is known for her experience in lightsheet microscopy (Gaussian and Lattice) and oversees the operation of the lightsheet labs in the facility. Her research interest is in cancer migration. More specifically understanding the physical, cellular, and molecular determinants in cancer cell invasion in high dense matrices. Lightsheet, intravital imaging (mouse and zebrafish), live cell imaging, superresolution, slide scanning and spectral imaging are some her of favourite imaging techniques.

  • 9:45 AM IST
  • 12:15 PM SGT/ HKT
  • 1:15 PM JST/ KST
  • 3:15 PM AEDT
Talk 1

The use of Artificial Intelligence in Light Microscopy

The use of Artificial Intelligence (AI) in microscopy, particularly in Life Science and Medical Research has been growing significantly in recent years and is now more accessible than it ever has been. The application of Machine Learning (ML) algorithms and even Deep Neural Networks (DNN’s) to analyse image data are now in the hands of the everyday user. Furthermore, as microscopy is becoming increasingly automated, the amount of data generated can be enormous and challenging. AI provides access to new image analysis tools, more user friendly microscopy workflows and the ability to efficiently extract meaningful data from increasingly complex data sets.

In this webinar, presented by ZEISS Australia and New Zealand, you will learn how machine learning is changing how we approach complex problems in microscopy. From improvements in automation, sample detection and navigation, to easy to use software applications for 2D and 3D image analysis and the development of your own deep learning algorithms for more challenging data sets using cloud based computing services.

Speakers

Dr Mark Stafford

Mark Stafford has a background in Molecular Biology and Neuroscience and completed his PhD at the University of Queensland in 2007. With a research focus investigating the role of ion channel signalling in neural progenitor cell differentiation, his work involved a combination of pharmacology, cell culture and Calcium imaging techniques. Mark has been with ZEISS ANZ for the past 14 years and manages our high-end light microscopy portfolio. 

  • 8:30 AM IST
  • 11:00 AM SGT/ HKT
  • 12:00 PM JST/ KST
  • 2:00 PM AEDT
Talk 2

MetaSystems and Machine Learning: Advances in Integrating Deep Numeral Networks into High Throughput Applications​ ​

Image analysis is one of the biggest challenges faced by today’s microscopists. In an age where high-throughput imaging is becoming more and more accessible, however, the question remains: How and what information to extract from the images. Machine learning techniques have shown huge potential in the field of image analysis and image segmentation and are often able to go a step beyond traditional segmentation methodologies. Pixel-based classification and deep neural networks (DNN’s) are examples of popular machine learning tools taking advantage of neural networks to process and analyze images from different microscope modalities for highly specific and customizable applications.​

Speakers

Mr Benjamin Ching

Benjamins has more than 15 years of experience with automated image analysis and high throughput automated scanning.  He has an extensive knowledge of applications development and implementation in the JAPAC region. He is also fluent in microscopy applications and molecular genetics. 

  • 9:30 AM IST
  • 12:00 PM SGT/ HKT
  • 1:00 PM JST/ KST
  • 3:00 PM AEDT

Register for our Life Science Week to get a chance to sign up for our limited online demonstration sessions