In this tech talk, through a collection of examples measured with our live cell imaging systems, high-content screening station, and whole slide scanner, you will see what TruAI technology can do for your research and get a preview of what is coming next.

Capturing life (mis)regulation at the nanoscale is a crucial challenge for present and future biophysics. At this scale, the main actors are the molecules. To successfully tackle molecular behavior within living matter, optical microscopy is a valuable methodological platform: by using fluorescence as the signal, spatial and temporal details of molecular processes can be investigated quantitatively. The physiopathology of beta-cell response to glucose stimulation will be used as case study of biological/biomedical interest. The metabolic traits of beta cells will be highlighted using a straightforward combination of multiphoton microscopy, fluorescence lifetime imaging, and feedback-based orbital tracking of sub-cellular nanostructures.

In this live demo, experience the IXplore SpinSR system, designed for fast 3D super resolution imaging and prolonged cell viability in time-lapse experiments. The microscope system offers XY resolution down to 120 nm without the need for dedicated labeling procedures. Learn how to easily integrate the IXplore SpinSR microscope system into existing experiments and sample protocols to streamline your research.

Images taken with a light microscope are never true representations of the specimen. Error sources, which have to be controlled, are sample preparation and staining protocols as well as optical aberrations and limitations of microscope and digital camera.

Quantifying cellular phenotypes is the key to all cell biology studies. However, modern imaging techniques can easily generate more data than an average user can comfortably handle. In this presentation, Dr. Chao discusses two deep learning approaches, one semi-supervised and one supervised, for building image analysis pipelines. Either approach can be run on a free cloud GPU instance.

Spaceflight experiments represent a rare but exciting scientific opportunity. Unlike most lab experiments, in which protocols can be quickly modified, limitations on crew time and availability of supplies are notable factors. Unanticipated changes to launch and reentry schedules are also an issue. The experimental apparatus and protocols used must be able to function in a microgravity setting, while also resisting the g-forces and vibrations during launch and landing. During this presentation, Dr. McLean will go over the experimental planning and use of confocal and electron microscopy approaches and analyses during a recent spaceflight experiment that flew on Space X-21 from 12/6/20 – 1/14/21.

In this talk, Dr. Lin covers some critical facts about scientific digital cameras. He also discusses the evolution of these cameras, the solutions that Olympus offers, and how they are used in current advanced microscopy systems for various applications.

In this session, we will discuss object segmentation with deep learning and its applications in life science. We will also demo Olympus deep-learning software.

In this product demo you will learn how to capture high-resolution images of your slides for quantitative analysis, enabling you to make the most of the information your slides have to offer. Easily analyze, share, and archive your data with the SLIDEVIEW VS200 digital slide scanner. Join this session and learn how to achieve more in less lead time.

In-vivo tracking based on harmonic nanoparticles is so far not exploited because of a lack of an appropriate tool—a widefield nonlinear optical microscope. Here, we present a new approach to overcome this challenge based on a redesign of laser space parameters.

Join Bülent Peker, Senior Product Marketing Manager to see how the FV3000 confocal laser microscope can expand your research possibilities and help you get more data from your samples.

Light sheet microscopy is a powerful technique to perform fast volumetric imaging. I will talk about how we use it to investigate how the brain of a small vertebrate, the larval zebrafish, works. In our laboratory at the Technical University of Munich, we are interested in how the brain processes external sensory stimuli and uses internal states and past experiences to select appropriate behavior. In order to do this, we image the activity of almost all 100,000 neurons in the brain of larval zebrafish while we present the animals with stimuli and monitor their behavior. I will also discuss the data processing steps after acquiring these large datasets.