Leica Microsystems - Unleash the Value of Microscopic data with Aivia

Australian National Fabrication Facility Qld Node

ANFF-Qld Facility welcomes Leica Microsystems to an interactive seminar about Aivia - state-of-the-art image analysis software.

L1 Seminar Room, Australian Institute for Bioengineering and Nanotechnology - AIBN

2024 ANFF-Qld Seminar Series

Throughout 2024 ANFF-Qld will arrange seminars with equipment and application experts to help users with their ANFF project goals. Follow the series for news on upcoming seminars in 2024.

Join ANFF-Qld and Leica Microsystems for an interactive seminar to learn about Leica's state of the art image analysis software - AIVIA. AIVIA is an innovative AI-powered 2-to-5D image visualization, analysis and interpretation platform designed for the reliable processing and reconstruction of highly complex images in just minutes.AIVIA makes advanced data analysis accessible for all biologists - with no computer science expertise required. <ul><li>Speed up your imaging projects and publish faster</li><li>Benefit from next-generation, easy-to-use machine learning segmentation and classification tools</li><li>Conduct parameter-free image segmentation</li><li>Easily train, update and apply deep learning models using local resources or the AiviaCloud platform</li></ul> Learn about AIVIA's capabilities to generate high-quality data from your imaging workflow analysis. Leica Microsystems, Senior Applications Sepcialist, Taryn Guinan will be presenting this seminar, 9.30AM-10.30AM Thursday 11th July 2024, AIBN L1 Seminar Room. Please register your attendance. Taryn has a PhD in Materials Science from the University of South Australia. Her post doctoral research at Monash University combined imaging with mass spectrometry for small molecule detection. Taryn is a Senior Applications Specialist for high-end microscopy workflows and analysis solutions. Please register to assist us with catering on the day. ANFF-Qld Techical staff will be on hand to assist with questions and training requests.

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