The 18th Member Representative Conference of the Chinese Society for Cell Biology and the 2023 National Academic Conference • Suzhou will be held at the Suzhou International Expo Center in Jiangsu Province from April 10-14, 2023. This conference invites numerous experts in cell biology to closely focus on basic research, cutting-edge technologies, clinical applications, and industrial development in the field of cell biology. Nearly 30 themed forums and events will be held to fully showcase the latest research achievements in cell biology and related fields, promote exchanges and cooperation among researchers in the field of cell biology in China, and advance the development of the Chinese cell biology discipline.

Leica Micro will hold a "Cloud Visit Leica Exhibition Stand" event during the conference, taking you to the exhibition site without leaving your home.

In modern cell biology research, microscopes have become indispensable tools. Leica continuously optimizes its microscope system to meet the challenges of cell biology research. At this exhibition, Leica showcased six of its latest microscope products, including Mateo designed for daily cell culture, MICA full scene microscopy imaging analysis platform, Thunder Nano live cell optoelectronic combination system that always maintains the best state of cells, CellDIVE for tissue multi label imaging, LMD micro cutting system, and AIVIA artificial intelligence image analysis and processing software. These products each have their own characteristics and help researchers better conduct cell biology research from different perspectives.

Leica Life Sciences Product Application Specialist Zeng Weijie explains multiple life science products to cloud based audiences:

Mateo TL digital inverted microscope

Mateo TL allows all laboratory members to comfortably check and record cell growth status, making it suitable for researchers who need consistent experimental results.

Unlike traditional microscopes, Mateo TL has an automatic phase difference matching function for the objective lens, as well as automatic recording of the last light intensity and camera exposure parameters used by the current objective lens. When the objective lens is switched back and forth, the parameters can be automatically called up. This makes the Mateo TL very convenient to use.

MICA Full Scene Microscopic Imaging Analysis Platform

MICA is the world's first full scene microscopy imaging analysis platform. It is not only a highly automated microscope, but also combines wide field and confocal imaging in a closed box culture environment. Just press a button and you'll have everything you need: improved workflow for fluorescence microscopy imaging, faster and meaningful scientific results, all done on one workstation.

In addition, MICA is also an integrated live cell workstation, which means that multiple imaging experiments can be easily conducted on one machine. The intelligent function of MICA allows researchers to focus on experimental research rather than the operation process of microscopes, while also lowering the threshold for researchers to use microscopes and helping them obtain experimental results faster.

THUNDER Imager Nano

Thunder Nano is a high-end microscope system that can detect in situ information under traditional light microscopy and capture ultrastructure through electron microscopy. It has multiple unique characteristics.

Firstly, Thunder Nano uses SampleLink Chamber, a specially designed open sample container that ensures continuous gas exchange and keeps cells in optimal physiological condition at all times.

Secondly, it has the function of detecting live fluorescent signals, which, when combined with Leica Thunder high-resolution wide field imaging technology, can help you better observe the fluorescent signals inside live cells. Thunder Nano uses a sapphire culture dish specific kit for live cells, allowing samples to be quickly transferred to the next freezing step. By utilizing Leica's advantage in high-pressure freezing technology, live cells can be instantly fixed and maintain their subsequent shape without changing.

Finally, the sample can be easily transferred to a cryo electron microscope for electron microscopy observation, or subsequently subjected to ultra-thin sectioning at room temperature and ordinary transmission electron microscopy observation.

CELL DIVE Multi label Tissue Imaging Analysis System

The overall solution for Cell DIVE ultra multi label tissue imaging analysis is based on antibody labeled ultra multi label technology, which is used to study the spatial cell biology and function in the tumor microenvironment.

The Leica CellDIVE tissue ultra multi label imaging analysis system can detect over 60 biomarkers in a single tissue slice, deeply mining the spatial location information of the tumor tissue microenvironment. CellDIVE adopts patented cyclic staining technology, making experimental design more flexible.

Leica can provide over 370 validated antibodies, ensuring compatibility with the CellDIVE multi cycle staining workflow. It can ensure efficient and accurate data collection on a single organizational piece.

Microscopic cutting model

The Leica laser micro cutting system LMD can visually extract cell or tissue samples from specific areas under a microscope. Quantitative tissue or single-cell analysis can be achieved through precise laser cutting.

Secondly, LMD is not only suitable for tissue samples, but also for cutting live cells, which can accurately select target cells for isolation and culture.

Finally, LMD can be combined with mass spectrometry for detecting protein or expression profiles.

AI image analysis software; Aivia

Aivia artificial intelligence image analysis and processing software is a software that combines traditional imaging experiments with AI artificial intelligence. For cell imaging experiments, the characteristic of AIVIA is that it can perform AI image enhancement, such as some fast imaging live cell experiments, which can optimize the signal-to-noise ratio of images and improve image quality through AI technology.

Aivia can also perform AI object recognition, such as identifying a specific type of cell in an image, and even recognizing unstained samples or electron microscopy samples, helping users quickly obtain sample information. For example, fresh tissue slices, bright field live cells, and AIVIA can all undergo deep machine learning to help researchers identify and obtain specific information. For confocal 3D layer scan data, AIVIA can perform 3D reconstruction on the image to display a more realistic sample morphology and structure. Three dimensional images can also be used for VR interaction, allowing us to use virtual reality technology and VR devices to interact and experience samples more intuitively.