Getting Started
What is arivis Cloud?
arivis Cloud (formerly APEER) is a cloud-based, AI-driven platform designed specifically for microscopy image analysis. It provides cutting-edge solutions to address the challenges of image analysis by enabling effortless AI model training for users from both industry and academia.
Industry professionals could find a suite of easy-to-use applications, that automate time-consuming tasks and allow for quick and accurate data processing. For academics, arivis Cloud streamlines research efforts by automating image analysis tasks and ensuring reproducibility. The platform also facilitates result sharing and integration with other tools, including several other ZEISS products. With a focus on accessibility and user-friendliness, arivis Cloud leverages AI to unlock the full potential of your research and accelerate the pace of discovery.
Glossary
Below is a list of terms that you need to know to navigate within the platform.
|
Annotation |
Refers to the process of labeling or tagging regions or objects of interest in an image to provide information about the image, such as the location of objects, their size, shape, their class, and category or other relevant features. Users create a few annotations manually and these annotations are then used as training data for deep learning applications to detect or recognize objects or patterns in images, thus enabling automated or semi-automated annotation for the rest of the dataset. |
|
Application |
A software component that provides access to pre-built workflows and modules. Public applications are created by our experts and aim to automate the entire analysis job for users, making it accessible for those who lack coding experience. Users can also create an application from scratch or request an application according to their analysis needs. |
|
Dataset |
A collection of image files that users can upload themselves and use with specific platform functionality. It is a plural entity that encompasses a set of data that a user has access to within the platform. |
|
Instance Segmentation |
Instance segmentation is another form of segmentation that assigns a unique pixel value to all pixels in an image corresponding to each instance or object of a class. The values assigned range from 0, which represents the background, to N, which corresponds to the total number of objects present in the image. |
|
Module |
A software component that performs a specific task, such as file conversion or image segmentation. Each module has predefined interfaces for input and output parameters, allowing it to interact with other modules in a modular workflow. While some modules can perform standalone tasks, most are designed to integrate with other modules to create custom workflows for specific analysis tasks. Users with some coding experience can easily create a new module by either editing an existing public module or building a new one from scratch. Modules can be shared and reused within the platform to accelerate the development of new workflows. |
|
Public workflow/modules |
Anyone could create a module or a workflow and make it available to the rest of the community. Once a module or a workflow is made public, it would be accessible from the other members and could be found under public module/public workflow tabs. Unless you prefer to share your modules/workflows, they could only be accessible by your account. |
|
Segmentation |
Segmentation is an image processing method that identifies and separates different regions of interest within an image by classifying each pixel into one or more classes. |
|
Semantic Segmentation |
Semantic segmentation is a form of segmentation that assigns the same pixel value to all pixels in an image corresponding to a particular class. |
|
Workflow |
A customized configuration of modules that are designed to perform a specific job. Workflows can be created from scratch by the user or by editing existing public workflows. Workflows can be saved and run within the platform without requiring any software to be downloaded to the user's device. |
FAQ
Here, you will find answers to a variety of questions, ranging from general inquiries to more technical questions.
Is arivis Cloud for academic customers only?
Absolutely not! Our platform is not only for academic customers. At arivis Cloud, we aim to provide solutions for users from both academia and industry. We value both scientific advancement and industrial progress and strive to create a platform that benefits both. Our solutions are tailored to meet the needs of a wide range of users, from researchers in academia to professionals in the industry. We also care about students and strive to make our platform accessible to them.
Is the platform available to ZEISS customers only?
Absolutely not! While ZEISS customers can benefit a lot from aligning with our product, our platform is designed to bring together a vibrant community of microscopists and image analysts from all backgrounds, regardless of whether they're ZEISS customers or not. We welcome everyone who's interested in making discoveries and advancing the field of microscopy and image analysis. Our platform's architecture and technology can handle various types of data, including microscopy and non-microscopy imagery. We hope you'll join us on this exciting journey!
I have a question [workflow, technical, scientific, etc.] that I would like to discuss. Whom should I ask?
If you have a question and want to reach out to our experts, feel free to send an email to our support team. However, please note that technical support for workflows and modules is no longer available.
How do I contact the support team?
You can email our support team, and we will get back to you as soon as possible. If your question is related to other ZEISS products, we recommend that you contact the ZEISS support team for assistance. You can find their contact information on the ZEISS website.
I forgot my password/username. What can I do?
If you have forgotten your password, you can reset it through the ZEISS self-service portal. Simply go to the login page and click on the Forgot Password link located at the bottom of the login option. This will take you to the password reset page, where you will be prompted to enter your email address. Follow the instructions provided to reset your password and regain access to your account.
I have login issues! Help anyone?
If you're having trouble logging into your account, here are a few steps you can follow:
- Check if the caps lock key on your keyboard is activated when you don't need it, as this can cause login failures.
- Make sure the keyboard layout and system language on your computer match the language you used when creating your account. This can affect the characters that you type and prevent successful login attempts.
- If you're still having issues logging in, try visiting the ZEISS self-service portal and attempting to log in there. If you're unable to log in there as well, please contact general ZEISS support for further assistance.
- Once you successfully log in to the customer self-service portal, navigate to the My Applications section, find the arivis Cloud field, click the three dots in the upper right corner, and select Contact. This will open a contact form in which you can explain your issue and send it directly to our support team. We will process your request and contact you as soon as possible to help resolve the issue.
My account was suspended. What to do?
Log in to the ZEISS self-service portal, navigate to the My Applications section, find the arivis Cloud field, click the three dots in the upper right corner, and select Contact. This will open a contact form in which you can explain your issue and send it directly to our support team. We will process your request and contact you as soon as possible to help resolve the issue.
Whom to contact for copyright and/or legal questions?
If you have questions about legal issues, copyright, or our terms and conditions, we encourage you to review the terms and conditions document which can be found here. The document contains important information about the terms and conditions that govern the use of our platform and services. If you have read the terms and conditions document and still have questions or concerns, please don't hesitate to contact our support team. We're here to help and are happy to answer any questions you may have.
Do you offer any user training?
We provide resources and assistance to help you learn how to use our platform effectively. For first-time users, we recommend checking out our knowledge base, which provides detailed information about our platform's features and how to use them. In addition, we offer tutorials that can be found on the main page once you are logged into your account, as well as video tutorials on our YouTube channel and our blog.
If you have reviewed these resources and still need further assistance, please don't hesitate to contact us. Depending on your needs, we may be able to provide additional training or assistance to help you get the most out of our platform. Simply write us to learn if there is any type of training or assistance available.
Which file types are supported?
You can upload and use various file types. However, we recommend you use the .czi format, which would allow you to benefit from optimal compatibility and performance. .ome.tif, .ome.tiff, .png, .jpg, and .jpeg, are among other common formats that could be used in the platform.
The following is a list of file types that can potentially be uploaded and used in the platform:
|
.1sc |
.2fl |
.acff |
.afi |
.afm |
.aim |
.al3d |
.ali |
|
.am |
.amiramesh |
.apl |
.arf |
.avi |
.bip |
.bmp |
.btf |
|
.c01 |
.cfg |
.ch5 |
.cif |
.cr2 |
.crw |
.csv |
.cxd |
|
.dat |
.dcm |
.dib |
.dicom |
.dm2 |
.dm3 |
.dm4 |
.dti |
|
.dv |
.eps |
.epsi |
.exp |
.fdf |
.fff |
.ffr |
.fits |
|
.flex |
.fli |
.frm |
.gel |
.gif |
.grey |
.hdf |
.hdr |
|
.hed |
.his |
.htd |
.html |
.hx |
.i2i |
.ics |
.ids |
|
.im3 |
.img |
.ims |
.inr |
.ipl |
.ipm |
.ipw |
.jp2 |
|
.jpk |
.jpx |
.klb |
.l2d |
.lei |
.lif |
.liff |
.lim |
|
.lms |
.lsm |
.map |
.mdb |
.mea |
.mnc |
.mng |
.mod |
|
.mrc |
.mrcs |
.mrw |
.msr |
.mtb |
.mvd2 |
.naf |
.nd |
|
.nd2 |
.ndpi |
.ndpis |
.nef |
.nhdr |
.nii.gz |
.nii |
.nrrd |
|
.obf |
.obsep |
.oib |
.oif |
.oir |
.ome.btf |
.ome.tf2 |
.ome.tf8 |
|
.ome.xml |
.ome |
.par |
.pbm |
.pcoraw |
.pcx |
.pds |
.pgm |
|
.pic |
.pict |
.pnl |
.ppm |
.pr3 |
.ps |
.psd |
.qptiff |
|
.r3d |
.raw |
.rec |
.res |
.scn |
.sdt |
.seq |
.sif |
|
.sld |
.sm2 |
.sm3 |
.spc |
.spe |
.spi |
.st |
.stk |
|
.stp |
.svs |
.sxm |
.tf2 |
.tf8 |
.tfr |
.tga |
.tif |
|
.tiff |
.tnb |
.top |
.v |
.vff |
.vms |
.vsi |
.vws |
|
.wat |
.wlz |
.wpi |
.xdce |
.xml |
.xqd |
.xqf |
.xv |
|
.xys |
.zfp |
.zfr |
My question is not listed here. What should I do?
If you have a question that is not listed on our FAQ page, don't worry! We are here to help. You can email us, and we will get back to you as soon as possible.
If your question is related to other ZEISS products, we recommend that you contact the ZEISS support team for assistance. You can find their contact information on the ZEISS website.
How to cite arivis Cloud
If you have used arivis Cloud for your research, it is important to acknowledge its contribution to your publications. This guide will walk you through the process of citing arivis Cloud.
Depending on the citation style required for your citations, you can use the following information to properly format both your in-text citations and reference list.
- Developer/rightsholder: Carl Zeiss Microscopy GmbH
- Year: 2023 (The date of your reference must be the year of the version of the platform that was used in the publication)
- Name of the software (i.e., title): arivis Cloud
- Format: Computer software
- URL: www.apeer.com
- Location: Munich, Germany
Here is an example citation with the APA 7 style:
- In-text citation: (Carl Zeiss Microscopy, 2023)
- Reference list: Carl Zeiss Microscopy GmbH. (2023). arivis Cloud[Computer software]. www.apeer.com
When referring to the source article, we recommend you format your citation in the following way:
- In-text citation: (Dang et al., 2021)
- Reference list: Dang, David, Le, Mu, Irmer, Thomas, Angay, Oguzhan, Fichtl, Bernhard, & Schwarz, Bernhard. (2021). APEER: an interactive cloud platform for microscopists to easily deploy deep learning. Zenodo. https://doi.org/10.5281/zenodo.5539895
Have questions? We're here to help.
Couldn't find what you are looking for? Reach out to our support team.
Security and infrastructure
Built to secure and support image analysis in the Cloud.
Platform security
- Files are encrypted using 256-bit AES encryption keys.
- For structured data (databases), arivis Cloud uses FIPS 140-2 validated cryptographic module for storage encryption of data at-rest using the AES 256-bit cipher.
- A+ rating for full HTTP traffic encryption. Report available here.
- GDPR compliance in accordance with EU regulations.
The platform security is of utmost importance to us. Therefore, in addition to the above security measures, we employ external providers to execute periodic security reviews for the source code, infrastructure, and deployed applications.
Unrivaled uptime and data security
- With 99% uptime, arivis Cloud is always on, worldwide
- We fully respect your intellectual property rights. All data uploaded and/or processed via the platform belongs to you, the user.
- You, the user, has full control over sharing your data, results, and trained models with your peers or collaborators.
The confidentiality of your data is our top priority. Therefore, access is restricted to only select members from the arivis Cloud support & operations team (in anonymized form).
Contact details
arivis Cloud office
Kistlerhofstraße 75
81379 München
