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Analysis of Biological Optical Microscopy Time-Lapse Video Sequences of Cells in the Cloud

About the project:

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The ABiOMiCeC project seeks to transform te processing of biological Cloud Computing data through deep learning.

The project’s research focuses on high-throughput investigations of chemotherapeutic treatment efficacy and is intended to improve drug evaluation processes with greater specificity and fewer adverse effects.

01/09/2023 – 13/07/2024

Researchers employed by academic and scientific laboratories, pharmaceutical industry, clinical pathology departments

The main deliverable of the project is the software, which consists of three parts. The first module performs pre-processing by removing image artifacts, restoring microscopy data, and generating pseudo-fluorescence images from phase contrast data. The second module analyzes time-lapse movies to detect and track mitotic and dividing cells using both image processing and deep learning, while the third module tracks cell motion and detects cellular events such as migration and apoptosis to support drug screening applications.

Partnership:

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UoL Project Team:

Stathis Hadjidemetriou

Dr. Stathis Hadjidemetriou is an Associate Professor of Computer Science and Information Technologies and Director of the MSc in Computer Science and Business Technologies at the University of Limassol. He holds a PhD in Computer Science from Columbia University and has extensive teaching experience in computer science, electrical engineering, and biomedical engineering. His research focuses on biomedical image analysis, biological microscopy, and quantitative MRI for cancer and neurological conditions. He has presented his work at numerous scientific conferences and published widely in international journals. Prior to joining UoL, he held research positions at Yale University and collaborated with university hospitals in the US and Europe.

Luca Ferarrini

Dr. Luca Ferrarini is an Assistant Professor of Information Technologies at the University of Limassol, specializing in data analysis and machine learning algorithms. He holds a PhD in Computer Science (with honors) from Leiden University Medical Center in the Netherlands, where his research focused on developing technologies for analyzing brain MR images to detect structural changes linked to neurodegenerative diseases. Dr. Ferrarini has over ten years of experience as a project manager and data analytics consultant in leading IT companies in Italy and Cyprus. He has published in international peer-reviewed journals and conferences and serves as a reviewer for journals such as BMC Bioinformatics and the Journal of Alzheimer’s Disease.

funded by:

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cyprus rep
idek en
en co fundedbytheeu rgb pos

The project is co-funded by the EU within the framework of the Cohesion Policy Programme “THALIA 2021-2027”. [Pr. no. CONCEPT/0722/0065]. The content reflects the views of the author(s) only. The European Commission and the Managing Authority of THALIA 2021–2027 cannot be held responsible for any use which may be made of the information contained therein.

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Request Information Request Information ⟶

Informed Consent Form

Dear Participant,

You are invited to participate in a survey as part of the DiFiCy – Digital Transformation and FinTech: Shaping Cyprus’s Economy research project which is implemented by the University of Limassol, PwC Cyprus and Unity Growth Limited.

The project is co-funded by the European Union within the framework of the Cohesion Policy Programme “THALIA 2021-2027” through the Research and Innovation Foundation (RIF) in Cyprus [Pr. number: EXCELLENCE/0524/0568].

The study has been approved by the National Bioethics Committee of Cyprus (Approval no.: EEBK EΠ 2025.01.19 )

This project explores digital transformation and FinTech adoption in Cyprus, with a particular focus on SMEs and the broader business ecosystem. It uses a mixed-methods research design, combining survey data with interviews and case study evidence to generate evidence-based insights for policymakers and businesses.

Before deciding whether to participate, please read the following information carefully.

Purpose of Participation

The purpose of this research is to better understand the drivers, challenges, and impacts of digital transformation and FinTech adoption in Cyprus. The findings aim to support evidence-based policymaking, strengthen business practices, and contribute to innovation and economic development.

Your participation involves the following:

Completion of this survey, which takes approximately 15 minutes.

Invitation to take part in an optional interview.

Contribution to a case study or discussion session at a later stage.

Your participation is entirely voluntary, and you are free to decline or withdraw at any time without any consequences.

If you wish to withdraw from the study after submitting your responses, you may do so by contacting the Project Coordinator.

Data Confidentiality and Usage

All data collected will be handled in strict accordance with the General Data Protection Regulation (GDPR) and Cyprus Data Protection Law (125(I)/2018).

Your data will be treated confidentially, pseudonymised and anonymised, and no personally identifiable information will be disclosed. Data will be securely stored and accessed only by authorised members of the research team. In some cases, qualitative data may be processed using machine learning techniques, such as keyword identification or pattern detection, strictly to support analysis; however, all interpretation and conclusions will be made by the researchers.

Aggregated and anonymised findings derived from the data (e.g., statistical summaries, graphs, and thematic insights) may be used for dissemination activities, including scientific publications, policy reports, infographics, and training materials. These outputs will not contain any information that could directly or indirectly identify participants or their organisations.

Anonymised data may be shared publicly after a 24-month embargo period, while raw or sensitive data will not be publicly available. Access to raw or sensitive data will be granted only upon justified request and consortium approval.

Your participation in this study does not involve any risks.

On the contrary, your contribution may help improve digital and FinTech policies, support SME development and innovation strategies, and enhance the overall business environment in Cyprus.

Contact Information

If you have any questions, concerns, withdraw requests or complaints, please contact the Project Coordinator, Dr. Snezana Eminidou. Please include “DiFiCy Survey” in the subject line.

Email: snezana@uol.ac.cy

Phone number: +357 22462228

Partnership:

Thank you for your valuable contribution to this research.

The project is co-funded by the EU within the framework of the Cohesion Policy Programme “THALIA 2021-2027” through the Research and Innovation Foundation. [Pr. no. EXCELLENCE/0524/0568]. The content reflects the views of the author(s) only. The European Commission and the Managing Authority of THALIA 2021–2027 cannot be held responsible for any use which may be made of the information contained therein.