ZEISS Axio Observer scan

Name: ZEISS Axio Observer scan
Brand: ZEISS

High-throughput screening and automated workflows

Equip yourself with automated imaging acquisition tools and AI-powered software analyses to break through previous experimental barriers that come with manual imaging and analysis workflows. ZEISS Axio Observer scan was designed to increase the efficiency of your large-scale data collection workflows. Selected hardware and software components create a streamlined process from acquisition to evaluation of relevant data for your research needs.

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Automatic multi-color imaging of large tissue sections
High-throughput imaging of multi-well plates or slides
Drug screenings or genetic screens

Multi-well screening experiment: Quantify cells for a proliferation assay upon different treatment conditions

A streamlined process from acquisition to evaluation

Equip yourself with automated imaging acquisition tools and AI-powered software analyses to break through previous experimental barriers. ZEISS Axio Observer scan is designed to increase the efficiency of your large-scale, high-throughput data collection workflows. Harness the power of advanced software analyses to uncover new insights in your experiments. Perform your own 2D image analyses with pre-trained AI models or enable machine-learning algorithms to segment images. Increase your amount of collected data and advance your analyses for unbiased, statistically significant evaluations of your experimental results.

Bundle components

Microscope	Axio Observer 7 (inverted widefield microscope stand) Scanning stage 130 × 100 Motorized condenser NA 0.55 AI Sample Finder Definite Focus 3 Autoimmersion Module
Light source / camera	Viluma 7 Filter sets 38, 43, 50, 64, 96, 112 Axiocam 820 mono
Objectives	EC Plan-Neofluar 5× / 0.16 Plan-Apochromat 10× / 0.45 , 20× / 0.8 LD LCI PApo 40× / 1.2 Imm Corr DIC
Workstation	Z8 Workstation with 128 GB RAM and nVidia Quadro RTX A4000 16 GB DP

Motorized Acquisition	Acquire images and control motorized components in multi-dimensional experiments.
Smart Acquisition	Create flexible and intelligent image acquisitions workflows with the Experiment Designer, Guided Acquisition and Experiment Feedback tools.
2D Toolkit	Create flexible automatic measurement programs for the analysis of your 2D images.
AI Toolkit	Make use of powerful AI tools. With this package, you can train AI models for various applications.

Looking for an upright microscope configuration?

This widefield bundle for screening applications can also be configured based on the upright microscope ZEISS Axio Imager 2.

Axio Imager scan

Example applications

Courtesy of Silvia Arber and Staci Thornton, FMI
Darkfield Composite Contrast image (left) and fluorescence image (right) of brainstem 80 µm-thick sections. Labeling of excitatory neurons with GFP (nuclear), and signal amplification with anti-GFP and Alexa 488-conjugated secondary antibodies, counterstained with anti-ChAT (motor neurons) and Alexa 647-coupled secondary antibodies.
Quantifying cell numbers upon different treatment conditions in a 96 well plate. LLC-PK1 cells expressing mCherry fused to histone H2B were seeded into the wells and analyzed with the Bio Applicaltion Module Cell Counting.
Sample courtesy of Molecular Genetics Lab - Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Jena, Germany
Immune cell segmentation and quantification in heart tissue sections of zebrafish. Immune cells are labeled in red (segmentation yellow) and muscle tissue in green (light blue in segmentation).
Kidney section. IHC stained with Cy3 (red), anti-GFP antibody stained with Alexa 488(green), nuclei stained with DAPI (blue).
Sample courtesy of M. Schmidt, Institute of anatomy. Medical Faculty Carl Gustav Carus, TU Dresden, Germany.
The overview image provided by the AI Sample Finder is ideally suited for navigation and orientation. You can use additional imaging modalities like fluorescence (A) to overlay the Darkfield Composite Contrast image (B) of the AI Sample Finder. Other methods like the Coherence Contrast (C) or a combination of fluorescence and Coherence Contrast (D) are possible too. Forget about assignments issues after image acquisition. With the AI Sample Finder you always know in which sample region your experiment was conducted and how the surrounding environment looked like.