arivis Scientific Image Analysis

How ZEISS arivis Hub Can Help Transform Biotech & Pharma Research.

In the realm of biotech and pharma research, the journey from hypothesis to breakthrough is paved with massive experiments. These experiments, often involving complex microscopy techniques, generate large multidimensional data. Analyzing this data is a crucial step in the innovation of new therapies that have the potential to save human lives. However, legacy systems, with their outdated operating systems and inflexible tools, can slow down this process significantly. Enter ZEISS arivis Hub, a state-of-the-art image analysis solution designed to revolutionize the way researchers interact with their data.

Revolutionizing Research Data Handling:

Designed for Scalable Image Analysis and Storage

ZEISS arivis Hub is built to handle the scale and complexity of modern research data. It enables the design and execution of large-scale experiments, allowing for efficient processing of large microscopy data. Our software enables scaling up and down of analysis processing resources providing faster turnaround times. 

In our scalable approach, illustrated in the accompanying graphic, you'll see how multiple high-capacity processors, each equivalent to 16 cores, work collaboratively like a well-coordinated team. This ensures the swift and parallel processing of your experiments, optimizing efficiency.

arivis_Hub_processingHarnessing the power of parallel processing for faster multi-dimensional image analysis.

Researchers can create analysis pipelines in ZEISS arivis Pro and upload them onto ZEISS arivis Hub once vetted to be used by others.

Access from Anywhere

In today’s interconnected world, research is no longer confined to the lab. ZEISS arivis Hub can be accessed from anywhere, enabling multi-user remote access to the system. Whether you’re working from the lab, your home, or halfway across the world, ZEISS arivis Hub keeps you connected to your data.

Works with Many File Formats

ZEISS arivis Hub offers flexibility to seamlessly work with various imaging systems found in any laboratory setting. Whether your microscopy data originates from a ZEISS system or a non-Zeiss system such as Yokogawa or Opera Phenix, ZEISS arivis Hub seamlessly accommodates many file formats. This flexibility is especially valuable for labs that work with various types of imaging equipment, as it allows for the smooth integration of ZEISS arivis Hub into your existing workflows.

Automated Analysis and Enhanced Visualization:

Multidimensional Visualization and Analysis 

ZEISS arivis Hub offers multidimensional visualization and analysis of images of any size, without the need for local hardware requirements. From small to very large datasets, ZEISS arivis Hub handles visualization effortlessly, providing you with the insights you need to drive your research forward. Whether you’re dealing with flat 2D cell cultures, intricate 3D organoids, or dynamic 4D time-lapse microscopy, ZEISS arivis Hub has got you covered for your visualization and image analysis needs.

Analysing an organoid image in ZEISS arivis Hub

Visualization of multidimensional organoids that are ready for scaled analysis.

AI-ready for Image Analysis

ZEISS arivis Hub is AI-ready, allowing for the execution of preconfigured AI-powered image analysis pipelines at scale. It supports a large range of image analysis algorithms, including segmentation algorithms based on traditional tools (e.g., blob detection), conventional machine learning (e.g., Random Forest), pre-trained deep learning open-source models (e.g., Cellpose), and customizable deep learning models (e.g., ZEISS arivis Cloud). 

Run Tailored Pipelines at Scale

ZEISS arivis Hub offers the ability to securely import and store data, utilizing these datasets in personalized pipelines enhanced by artificial intelligence. You can tailor these pipelines using the ZEISS arivis Pro image analysis software, and scale them for optimal throughput using ZEISS arivis Hub

ZEISS arivis Hub pipelines

A screenshot of ZEISS arivis Hub showing an AI-powered image analysis pipeline specifically designed for fiber analysis.

User-Friendly and Intuitive

ZEISS arivis Hub is not only versatile but also user-friendly. Its intuitive interface ensures that any member of your team, regardless of their technical skills, can get started without wasting time trying to figure out how to use the software.

Comprehensive Image Analysis for Diverse Cellular Assays

ZEISS arivis Hub is not just flexible; it's comprehensive. It supports automated image analysis for a wide range of cellular assays. Whether you're studying cell proliferation, analyzing neurite outgrowth, or exploring 3D organoid analysis, ZEISS arivis Hub has got you covered.
Our software can handle various tasks including but not limited to:
-    Apoptosis
-    Cell Cycle
-    Cell Differentiation
-    Cell Migration
-    Cell Proliferation
-    Cell Shape Changes
-    Cytoskeletal Rearrangement
-    Cytotoxicity
-    Infection/Infiltration Rates
-    Lipid Droplet Analysis
-    Neurite Outgrowth
-    Protein Expression
-    Receptor Activation
-    Reporter Gene
-    Signaling Pathway Analysis 
-    Transcription Factors
-    3D Cell Model Imaging and Analysis
-    Live-cell Imaging and Analysis
-    2D and 3D Organoid Analysis
-    High Content Analysis (HCA)

High Content Analysis Pipeline and Results

High content analysis pipeline and results

For more information on this application, please refer to our case study.


High Content Organoid Analysis

High content organoid analysis 

For more information, please refer to this case study.

Safety, Security, and Support:

Data Safety and Security

At ZEISS, we understand that your data is invaluable. That's why data safety and security are our utmost priorities. You can rest assured that your data is protected, whether you're leveraging computation onsite or offsite. No more concerns about data loss when a user transitions out; your local administrator can access all your data, including the analyses performed.

Future-Proof on a Modern Operating System

ZEISS arivis Hub is designed to be future-proof, operating on a modern operating system that frees you from the constraints of outdated software. This modern system enables image analysis at scale, offering support for multiple CPUs and GPUs to analyse large datasets. With ZEISS arivis Hub, you're not just keeping up with the times; you're staying ahead of them. 

Easy Server Installation

Whether you opt for a cloud setup or choose to install the server locally on your premises, our team of experts can collaborate with your IT department to swiftly initiate your journey with ZEISS arivis Hub. In many cases, the on-premises installation can be completed in just one working day.

Excellent Technical Support

At ZEISS, we believe in supporting our users every step of the way. Our team is always ready to assist you, ensuring you can focus on what matters most - your research.



These capabilities make ZEISS arivis Hub a versatile tool for researchers working on diverse topics. With ZEISS arivis Hub, you can tailor your image analysis pipelines to suit your specific research needs, making it an invaluable tool in your research arsenal. Whether you're a seasoned researcher or a novice in the field, ZEISS arivis Hub's user-friendly and intuitive interface ensures that you can get started without wasting time trying to figure out how to use the software. And if you ever need help, our excellent technical support team is always ready to assist you. With ZEISS arivis Hub, the possibilities are endless. Step into the future of image analysis with us and let's innovate together.


Dr. Sreenivas Bahttiprolu 

Dr. Sreenivas Bhattiprolu
Dr. Sreenivas Bhattiprolu's team at ZEISS focuses on solving tough microscopy challenges by leveraging the latest advancements in digital technology and artificial intelligence. Dr. Bhattiprolu has over 25 years of experience in microscopy. He received his Doctorate in Materials Sciences and Engineering from Michigan Technological University and earned his Master’s degree in Physics from the University of Hyderabad.


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