Digital Image Analysis
Smart Structure Recognition
Power of DEEP Learning
Custom Protocols

** Researchers on COVID-19 topics, we are here to help!

Automatic analysis

Custom protocols

Personalized access

Fast service

Complex data


How do you analyze images in your research?

Labor-intensive? It’s painful?
Time-consuming? Inefficient?
  • we set custom automatic protocols for your set of data;
  • it’s fast, only sec/image
  • you can define classifiers and outputs for our export tables/statistics
  • boost efficiency – train the software with your experienced observer(s)
  • use the benefits of machine/deep learning
  • significantly increase your data harvest and analytics
We would like to collaborate with you on your image analysis!

Planning new research? With loads of images?

How/who will analyze it? Do not reduce hypothesis ambitions!
  • we follow up with you and collaborate on automatic image analysis
  • using the power of deep learning
  • set you a pipeline for FULL image analysis
  • through specific features detection, vectorization of parameters, all the way to data sheets with descriptive statistics
  • keep in touch with your data analysis by training the software
  • significantly increase your data harvest and analytics
We would like to collaborate with you on your image analysis!

Large database with images, -grab more from it?

It will take TOO LONG to go through the data again?
How/who will analyze it?
  • we will make an order in your database
  • built custom tools for your automatic image analysis
  • power it with machine/deep learning
  • follow up with your research needs,
  • help you to prove your hypothesis
  • keep you in touch with data analysis – by training the software
  • significantly increase your data harvest and analytics
We would like to collaborate with you on your image analysis!


some of the research areas:

In-vitro neurons, glial cells, astrocytes


MSCT measures

In-vitro on CHIP

KARMENstudio is Used by:



For a free trial – You would have to:

– Upload up to 6 images from the same sample

– Give us an email contact to send you DEMO feedback

Leave short instructions (image with marks and/or narrative explanation) about  what do you want to measure from images 

We will (in max 48h):

– build a custom protocol for your image analysis needs

– send you back DEMO materials :

  • short video of your images analyzed in KARMENstudio (to be aware of speed), 
  • one of the images with segments and markers on it,
  • for the same image (*.csv) table with the data we have extracted from your image 

** Researchers on COVID-19 topics, we are here to help!

Examples of DEMO materials:


You would have to :

  • Send us a short email (where we will reply with a personalized link to upload your image data encrypted)
  • Upload your first sample (images must be “similar”; obtained with the same technique and resolution).
  • Give us instructions on at least one example image with marks and/or narrative explanation about what do you want to measure/gain from images.
    • We can have a brief Skype call or a few emails making sure and clear we understand exactly what you would like us to “grab” from the images!

We will:

  • build a custom protocol for your image analysis needs
  • send you back materials (images, tables, stats,..):
  • we will be fast!

** Researchers on COVID-19 topics, we are here to help!

Contact us about pricing:

  • even if you do NOT have on-going funding for your project
  • or you are just planning a new experiment or research proposal
  • just contact us, we understand the options of funding in science

Training and testing phases

Training stage:

  • Personalized access to the KARMENstudio platform.
  • for the training of software using the power of machine learning!
  • keeps you in touch with data analysis - by 
    training the software by your experienced observer(s)
  • interactivity implemented which allows you fast performance
  • brings the efficiency of automatic image analysis even higher!
  • significantly increases your data harvest and analytics

Testing stage:

providing additional information regarding the expectations, probability, and efficiency of all the steps of analysis.

About us

"We understand every aspect of the researcher’s workflow, deadlines, thesis, grants, publications, … we are here to help with our experience and competences!"

KARMENstudio team - committed to bringing solutions to help researchers.

We have a core team of 7 dedicated scientists, entrepreneurs, and developers. Led by:

Ana Bedalov

CEO Physicist

Saša Kijuk

Head Software Developer

  • 20 years of experience in researching, designing, implementing software in the field of image analysis
  • very skilled machine/deep learning developer

Tonći Kozina

Signal analysis engineer

  • 22 years experience in signal analysis, analytical operations, and development for military purposes.
  • rich experience in developing and maintaining software applications

Denis Zorić


  • 15 years of experience in logistic protocols and statistics
  • IP and transfer of technology in medical bionics
  • testing and verification of algorithms

KARMENstudio team -bringing smart structure recognition solutions for research purposes.

KARMENstudio workflow

The main workflow consists of base preprocessing, segmentation and classification with integrated functional modules and features, mapping and statistics.

  • The mapping module is merging individual images into one complete virtual image/folder.
  • Statistics module contains basic data analysis of main image features. Any extended data analysis is provided by additional suitable plugins.
  • Plugins supported: Image-based: include preprocessing step; Data-based: include data analysis; Based on image and data: include multiple image processing; Based on extended data: include structural analysis; Upgraded Functional Modules; Upgraded Features

Image analysis workflow includes following steps:

  • preprocessing,
  • segmentation,
  • classification,
  • multiple image processing,
  • structural analysis and
  • data analysis
  • Segmentation and classification contain intermediate computational scripts, each programmed as an independent functional module.

Deep Learning allows fast and efficient image analysis containing complex visual structures. In addition, thanks to Deep Learning, we can also quickly develop novel analysis scripts for new applications through automated proposing patterns of new scripts, based on our extensive experiential database, and adjusting the parameters of the new script modules.

Full analysis of a typical 8-megapixel image with resolution 3266×2450 pixels rarely takes more than 2 seconds on an average computer today.
Developing a novel script module for new applications takes only a few weeks.

Our image analysis is oriented to work with many related images, such as individual images forming a large visual scene, or a sequence of images captured in a short time, or slow time lapse of images, or images taken as cross-sections of 3D digitized objects.

This multiple-image orientation is ensured for high-speed image analysis and high data optimization, which enables simultaneous access and handling of even extremely large amounts of data.

KARMENstudio is highly modular and easily upgradable for different applications.
Upgrade models include plugins with new segmentation and classification functionalities, as well as plugin extensions for preprocessing, multiple image processing, structural analysis and data analysis.

Intuitive interface allows easy interactivity during all image analysis steps.
In the case of segmentation and classification it is possible to return to any previous intermediate step from the script, and to make adjustments to the parameters of the modules.

While the initial scope of KARMENstudio was developed for life-science microscopy, in particular in the field of cellular neuroscience, KARMENstudio has a much wider scope today, thanks to its distinct modularity and upgradability.

Examples of image processing modules used in KARMENstudio are: Structural analysis of bones and keypoint detection, Object tracing due to moving affinities, Point Spread Function detection, Validation by segment registration with other image analysis tools.