Leica Live Preview: From Traditional Biomedical Image Processing to AI Image Analysis

Epidermal cell (KI(krt8:EGFP), original image (left, taken by Leica SP8) and cell outline after automatic segmentation by Aivia software (right)), Sun Yonghua Laboratory, Institute of Hydrobiology, Chinese Academy of Sciences

Introduction

In the past online training sessions, we shared with you the display of images, video recording output, counting and morphometry, co-localization, and the machine learning part of the Aivia AI tool

In this online training session, we have the honor to invite Mr.

common sense

Machine Learning includes statistical models and algorithms that allow computers to perform specific data analysis tasks

Deep Learning, capable of automating repetitive tasks and generating reliable predictions from complex data integration, has revolutionized biology and medicine over the past decade

In Aivia, deep learning models include three applications: image restoration, segmentation, and prediction

image restoration

Long-term live-cell imaging is very challenging because of the need to balance signal-to-noise ratio, resolution, and phototoxicity

Image segmentation

In Aivia, we develop several pretrained deep learning models based on different convolutional neural network architectures (DenseNet, UNet, 3D-Unet) to handle electron microscope image segmentation

image prediction

Image prediction takes a pair of images, such as a cell phase contrast image and the corresponding fluorescently labeled nucleus image, for training, and creates a model to predict the corresponding position of the fluorescently labeled nucleus on other phase contrast images

The fifth in a series of Leica Aivia online live events will take you through the application of deep learning in image analysis

Live time

June 21, 2022 14:30-15:30

ways of registration

Long press to identify the QR code

Make an appointment

Instructors

Li Xiaoming

senior engineer

He obtained his doctorate degree from Shanghai Institute of Applied Physics, Chinese Academy of Sciences in 2013.

Deng Guangjie

Leica Microsystems

Life Science Application Specialist

Guangjie Deng, application specialist at Leica, received a bachelor's degree in biochemistry from Hong Kong University of Science and Technology in 2003 and a master's degree in biotechnology in 2005.