ZEISS ZEN desk

Base
Perform basic image acquisition of multi-channel fluorescence and time-lapse experiments with manual, coded, and motorized microscopes.

Motorized Focus
Acquire images of multi-channel fluorescence, time-lapse and z-stack experiments, with software autofocus, extended depth of focus processing, and direct processing.

Motorized
Acquire images of multi-channel fluorescence, time-lapse, z-stack, tile scan, and multi-position experiments with software autofocus, extended depth of focus processing, and direct processing.

Advanced
Acquire images of multi-channel fluorescence, time-lapse, z-stack, tile scan, multi-position, and confocal HDR experiments with software autofocus, extended depth of focus processing, direct processing, and colocalization analysis.

Smart
Configure inhomogeneous acquisition experiments with a simple user interface, and perform adaptive and automated acquisition using image analysis or Python scripting tools.

2D
Employ extended image processing functions and perform automatic 2D image analysis guided by an intuitive software wizard.

3D
Employ extended image processing functions, visualize 3D/4D image stacks with advanced rendering tools, and perform 3D image analysis guided by an intuitive software wizard.

AI
Segment, classify, and denoise images based on deep learning algorithms accessible through a dedicated user interface for training AI models.

Connect
Acquire and correlate images from different instruments such as light and electron microscopes, with a sample-centric workspace and a dedicated file management system.

Developer
Customize and automate image acquisition, processing, and analysis with a dedicated Python script editor for recording, debugging, and code completion.

Molecular Quantification
Acquire and analyze molecular dynamics using FRAP, FRET, and ratio imaging within a dedicated analysis workspace using the most established algorithms. 

Deconvolution
Intuitively enhance the resolution of 2D and 3D data down to 120 nm using 15 published deconvolution algorithms, powered by efficient multi-CPU/multi-GPU processing.

Bio Applications
Perform out-of-the-box cell counting, confluency measurement, spot detection, and gene/protein expression with AI-based segmentation and tailored result presentation.