Imaris AI Microscopy Image Analysis Software Training Workshop

Imaris AI Microscopy Image Analysis Software Training Workshop

Imaris is the world’s leading Interactive Microscopy Image Analysis software, actively shaping the way microscopic images are processed through constant innovation and a clear focus on 3D and 4D imaging. This 2-day Imaris software training workshop aims to deliver a FULL POWER of Imaris that provides a greater flexibility of all Imaris functionalities.

Seminar Session (All are Welcome):

Date: July 16, 2024 (Tue)

Venue: LT1, G/F, Lecture Theatre 1, William M.W. Mong Block, 21 Sassoon Road

Session One

Time: 10:00 – 11: 00

Title: Imaris – 3/4D Image – Visualization and Analysis Software

Speaker: Ms. April Hu, National Imaris Technical Specialist, Oxford Instrument

Session Two

Time: 11:00 – 12: 00

Title: Cross-scale bio-imaging and multi-dimensional bio-image analysis solutions

Speaker: Dr. Sophie Hou, National Imaris Technical Specialist, Oxford Instrument

Demonstration Session (Registration is Required)

Pre-requisites:

  •  Applicants MUST have some basic knowledge on microscopy imaging.
  •  Attendance at the seminar section one is required for all who register to attend training sessions.
  • Participation of all training sessions is compulsory if applicants have been enrolled successfully.
  • Imaging users of the CPOS Imaging and Flow Cytometry Core will have priority to be enrolled to this training workshop.
Date Time       Content
July 16, 2024 (Tue) 13:30 -17:30
  • Visualization of complex 3/4D microscopy datasets
  • Smart detection and segmentation of complex objects
  • Animation & Export
July 17, 2024 (Wed) 9:30 -12:00
  • Detect cells and examine relationships between cells and cellular components.
  • Track motion
July 17, 2024 (Wed) 13:30 -18:00
  • AI Powered 3D Neuron and Blood Vessel  Filament Tracing
  • Voxel or object based Colocalization
  • Alignment and stitching of multiple tiles & Batch
  • Q&A

 

Venue: Knowledge Hub, LG1, Medical Library, 21 Sassoon Road

To register, please go to https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?ueid=94661

Please refer to the poster below for more detailed information.