Agustin Corbat

I'm

About

An Interdisciplinary Image Analyst and PhD Physicist, enriched by practical knowledge from a core medicine career, who excels at turning complex visual data from any source into clear, measurable results. I apply advanced deep learning and physics-based modeling to solve novel problems across scientific and industrial sectors. My strength lies in designing custom, data-driven workflows and providing expert consultation to drive innovation, regardless of the specific field.

As a bioimage analyst with a unique foundation in both medicine and physics, I specialize in transforming complex visual data into precise, quantitative metrics. I bridge the gap between understanding intricate biological and geological systems and applying rigorous computational analysis to extract critical information.

My expertise delivers value across diverse industries:

Medical

Quantifying cellular features in histopathology and automating analysis for diagnostic and research applications.

Agricultural

Assessing crop health, analyzing root systems, and phenotyping from drone and microscopic imagery.

Petrography

Characterizing pore networks and quantifying mineral composition and grain structures in rock thin sections.

I turn your images into objective data, enabling you to make better, faster, and more informed decisions. Let's connect via email to solve your imaging challenges.

Image Analyst

My primary focus is on developing image analysis pipelines to extract quantitative information, irrespective of the modality or area. My skills include proficiency in microscopy, encompassing the selection of appropriate techniques and the analysis and quantification of data to address various scientific inquiries. I always leverage the synergy between mathematical modeling and experiments to answer different questions effectively. I gain advantage of my interdisciplianry skillset to provide counselling regarding image analysis projects.

Beyond project execution, I am passionate about education and mentorship. I design and deliver customized courses for graduate, postgraduate, and industry settings on a wide range of subjects, including statistics, physics, image analysis and automation.

  • Degree: PhD
  • Website: acorbat.github.io
  • Birthday: 18 January 1990
  • Born in: Buenos Aires, Argentina
  • Current City: Buenos Aires, Argentina

PhD in Physics

During my PhD, I have been working under the advice of Dr. Hernán Grecco focusing on obtaining quantitative information from microscopy images to unravel how intra and intercellular signalling cascades emerge from underlying biological networks. To avoid experimenter bias and amass enough data, I worked on the design of experiments and programming of Python modules that would automatically analyze the acquired images. From this, I found out that microscopy, in all its variants, excels at determining individual characteristics in cell population providing essential information of their variability and subsequent behaviour.

Skills

In my pursuit of knowledge and expertise in the fields of physics, systems biology, and microscopy, I have honed a diverse skill set that is anchored in both scientific inquiry and technical proficiency. To automate processes and mitigate experimental bias, I ventured into programming, control and automation, and statistics. My commitment to integrating these skills into my work has enabled me to approach complex problems with a multidisciplinary perspective, fostering innovation and precision in scientific research and experimentation.

Python100%
Image Analysis 100%
Deep Learning, ML & AI95%
Agentic AI 75%
Mathematical Modeling 100%
Microscopy (Optical, Fluorescence, Confocal) 100%
Medical Imaging (MRI, CT, Digital Pathology) 75%
PyTorch 100%
Systems Biology 100%
Cell and Molecular Biology 100%

Portfolio

I applied the techniques I have learnt during this time to a plethora of different scientific questions gaining advantage on synergy between modelling and experiments to devise new questions. For example, I have studied the apoptotic signalling cascade where modelling the network led me to ask myself whether placing stimuli at different nodes of the network gives place to different dynamics. After designing the necessary experiments, I unraveled the role of key nodes in the apoptotic network and designed a single mathematical model to describe dynamics when applying different stimuli.

I have also worked with different image modalities, such as Magnetic Resonance Imaging and Video acuisitions, and diverse topics such as ecology and petrography.

  • All
  • Postdoctoral
  • PhD
  • Package
  • Collaboration
  • Image Analysis

Services & Materials

I provide Image Analysis freelance services to design and implement automatic pipelines and consultancy sessions. I also develop courses for academic and industry environments. Below you will find organized categories of teaching materials, educational resources, software tools, and best practice guides.

Teaching & Lectures

Video lectures and talks on bioimage analysis, microscopy, and artificial intelligence

Microscopy: Improve Your Imaging Skills

Course addressing theoretical and practical knowledge on experimental design in microscopy from sample preparation to image analysis.

Interfacing with Other Networks

Short talk on how bioimage analysts can interface between local communities and organizations.

On Navigating the Archipelago

Reflections on the diverse origins and backgrounds of bioimage analysts in the field.

Lecture Materials & Seminars

Documentation and materials for bioimage analysis seminars and workshops

Digital Image at CFMO

Foundational lecture on digital images in "Curso de Fundamentos de Microscopia Optica".

Introduction to BioImage Analysis at CFMO

Introductory material on image analysis techniques in microscopy courses.

AI Tools in Biology

Seminar on artificial intelligence and deep learning applications in bioimage analysis.

Image Analysis Lecture

Comprehensive introduction to image analysis techniques for researchers and PhD students.

Image Analysis Workshop

4-hour hands-on workshop teaching image analysis to PhD students and light microscopy users.

Educational Datasets

Image datasets designed for understanding microscopy challenges and their solutions

Uneven Illumination & Focus Dataset

Demonstrates effects of illumination and focus variations when stitching image tiles.

Bleedthrough & Saturation Dataset

Illustrates effects of bleedthrough, saturation, underexposure, and soft focus on image analysis.

Noise vs Averaging Dataset

Demonstrates the effects of noise levels on image analysis and the benefits of signal averaging.

Software & Tools

Python packages, code libraries, and automation tools for image analysis and scientific computing

img_manager

Python package with object wrappers for different microscopes and image correction algorithms.

Adjutant

AI chatbot for Slack capable of remotely waking up computers through wake-on-LAN.

Anisotropy Errors

Jupyter notebook exploring error propagation in anisotropy estimation calculations.

Teaching Examples

Notebooks for understanding goodness of fit through simulations and oscilloscope automation examples.

Liver Lineage Tracing

Simulation of lineage tracing systems using computational modeling and visualization.

Radiobiologia

Notebook for exploring the Linear Quadratic Model and radiobiology concepts.

Best Practices & Resources

Guidelines and documentation for organizing and managing scientific projects

Folder Convention Guide

Best practices for organizing project directories and file structures for reproducible research.

Publications

A selection of peer-reviewed publications from my research in bioimage analysis, biophysics, and systems biology. For a complete list and additional materials, refer to my detailed CV.

2025

Ectoderm barcoding reveals neural and cochlear compartmentalization

Science | DOI: 10.1126/science.adq9248

The non-canonical Smoothened-AMPK axis regulates Smaug1 biomolecular condensates

Journal of Cell Science | DOI: 10.1242/jcs.263433

2024

Jag1 represses Notch activation in lateral supporting cells and inhibits an outer hair cell fate in the medial cochlea

Development | DOI: 10.1242/dev.202949

Spatially segregated defects and IGF1-responsiveness of hilar and peripheral biliary organoids from a model of Alagille syndrome

Liver International | DOI: 10.1111/liv.15789

2023

Molten Globule Driven and Self-downmodulated Phase Separation of a Viral Factory Scaffold

Journal of Molecular Biology | DOI: 10.1016/j.jmb.2023.168153

2022

Smaug1 membrane-less organelles respond to AMPK and mTOR and affect mitochondrial function

Journal of Cell Science | DOI: 10.1242/jcs.253591

2021

An Integrative Apoptotic Reaction Model for extrinsic and intrinsic stimuli

bioRxiv (Preprint) | DOI: 10.1101/2021.05.21.444824

CASPAM: a triple modality biosensor for multiplexed imaging of caspase network activity

ACS Sensors | DOI: 10.1021/acssensors.1c00554

2018

Co-imaging extrinsic, intrinsic and effector caspase activity by fluorescence anisotropy microscopy

Redox Biology, Vol. 19, pp. 210-217 | DOI: 10.1016/j.redox.2018.07.023

Resume

In my career journey, I have had the unique opportunity to travel across the realms of medicine and physics, forging a multidisciplinary skill set that bridges the gap between biology and quantitative analysis. During my years in medical school, I learnt how variability in biology would arise at different levels, from the cellular level through tissue and organs to the whole individual. Upon embarking on my physics career, I intentionally selected biophysical and statistical elective courses to match my interest in quantitatively probing biological phenomena. This interdisciplinary journey has enabled me to seamlessly integrate my medical insights with advanced quantitative methodologies, fostering a unique skill set that enhances my ability to tackle complex scientific challenges at the intersection of physics and biology.

For a detailed CV, refer to overleaf.

Summary

Agustin Corbat

Physicist with a keen interest in image analysis and microscopy. Over 10 years of experience in image analysis, research and teaching, as well as programming and automating workflows.

  • Buenos Aires, Argentina
  • acorbat.bia@gmail.com

Professional Experience

BioImage Analyst

2025 - Present

Universidad de Buenos Aires, Buenos Aires, Argentina

BioImage Analyst

2024 - 2025

Uppsala Universitet, Uppsala, Sweden

Postdoctoral Researcher in Developmental Biology

2022 - 2024

Karolinska Institutet, Stockholm, Sweden

  • Marie Skłodowska-Curie Action Seal Of Excellence - Awarded for excellence in research proposal and career development.
  • My research was performed in Dr. Emma Andersson's Lab where I specialized in an interdisciplinary approach integrating microscopy and mathematical modeling to advance the field of developmental biology.
  • My focus consisted on decoding the intricate interplay between Notch cell-to-cell signaling and mechanical forces, elucidating their role in precise pattern formation during inner ear development.
  • Collaborated with colleagues in developing analysis of lineage tracing and microscopy images.
  • Supervision of Master students.

Postdoctoral Researcher in Physics

2021 - 2022

Karolinska Institutet, Stockholm, Sweden

  • Transitional postdoctoral position following PhD completion.
  • Initial research orientation in physics-based approaches to biological imaging and modeling.
  • Foundation for subsequent developmental biology research focus.

PhD Student

2016 - 2021

Universidad de Buenos Aires, Buenos Aires, Argentina

  • National Scientific and Technical Research Council (CONICET) Postgraduate Fellowship to pursue a PhD 2016-2021, awarded through National competition.
  • I pursued my PhD in Dr. Hernan Grecco's group where I applied microspectroscopy to quantification and modelling of signal propagation in biological networks.
  • Collabroated with different groups to design microscopy experiment and image analysis pipelines.
  • High Level Technological Service: Colaboration with Y-Tec, Digital Petrography, Image analysis and machine learning applied to gigapixel petrography samples.

Research Projects & Supervision

Research Project Contributions (2024-2025)

  • Spatial Profiling of the Renal Host-Pathogen Interplay: Image analysis support for studying *Candida albicans* infection dynamics in mice using spatial transcriptomics and microscopy.
  • MRI Segmentation of Cavernous Malformations: Deep learning approaches for automated segmentation of cavernous malformations in mouse brain MRI scans.
  • Role of Perivascular TAM Phenotypes: Analysis of tumor-associated macrophage phenotypes and their role in metastatic dissemination.
  • AI4Life Open Call 2 Projects: Contributed to artificial intelligence projects (#11 and #38) for advancing bioimage analysis capabilities.

Student Supervision & Mentoring

  • Laboratorio 6 Student Project (2025-2026): Supervising undergraduate experiment on "How Microscope Capabilities Affect FRAP Parameter Estimation".
  • Master's Student Supervision (2024): Mentoring graduate students in specialized image analysis techniques.
  • High School Student Supervision (2024-2025): Guidance for advanced secondary education research projects.

Education

PhD. in Physics

2016 - 2021

Universidad de Buenos Aires, Buenos Aires, Argentina

Grade: 10 (grading scale: from 0 to 10, with 10 as maximum)

Advisor: Dr. Hernán E. Grecco; Defended on 10th of August of 2021

Thesis: Microspectroscopy applied to quantification and modelling of signal propagation in biological networks: I devised an integrative mathematical model for the apoptotic cascade by analyzing timing between caspases when using extrinsic and intrinsic stimuli.

Elective Subjects:

  • Biology of Molecular Systems: Modelling and experimental validation of biological networks.
  • Optical and Fluorescence Microscopy: Theoretical and practical course regarding many aspects of microscopy and image acquisition.
  • Fourier Optics: Theoretical course treating Fourier optics.
  • Machine Learning: Theroetical and hands on course regarding various machine learning aspects and examples.
  • Electronics Laboratory: Design, analysis and experimentation with diverse circuits.
  • Licenciatura in Physical Sciences

    2011 - 2016

    Universidad de Buenos Aires, Buenos Aires, Argentina

    General Average: 9.32, Historical Average: 8.51 (grading scale: from 0 to 10, with 10 as maximum). Estimated Time for Completion: 6 years. Actual Completion: 5 years

    Thesis: Modelling Caspase Dynamics from Temporal Series: I theoretically calculated how to estimate protelytic activity from anisotropy polarization of homoFRET based biosensors and used three spectrally separated biosensors to monitor activity of extrinsic, intrinsic and effector caspases in time series of single cells.

    Elective Subjects:

  • Topics in Molecular Biophysics: General concepts regarding biochemistry and biology with experiments regarding measurements of biophysical values.
  • Biophysics: Theoretical course regarding modelling of diverse biological systems.
  • Experimental Uncertainties and Theory of Error: Advanced statistics course.
  • Medicine, Core Assignments Completed

    2008 - 2010

    Hospital Universitario Austral, Buenos Aires, Argentina

    Merit Scholarship

    General Average: 7.48 (grading scale: from 0 to 10, with 10 as maximum)

    Professional Development & Training

    Selected Advanced Courses & Workshops (2020-2024)

    • Democratizing Microscopy in Latin America (2024, 50 hrs): Comprehensive workshop on microscopy techniques and bioimage analysis in Latin American context.
    • Advanced Methods in Bioimage Analysis (2023, 50 hrs): EMBO workshop on cutting-edge bioimage analysis methodologies.
    • Advanced Deep Learning with Transformers (2023, 16 hrs): Training in transformer architectures and attention mechanisms for image analysis.
    • GPU Programming: Why, When and How? (2023, 16 hrs): EuroCC training on GPU acceleration for scientific computing.
    • Quantitative Imaging: From Acquisition to Analysis (2018, 156 hrs): Cold Spring Harbor Laboratory intensive course with partial scholarship.
    • School on Physics Applications in Biology (2018, 50 hrs): ICTP-SAIFR program with full support for studying physics in biological systems.

    Teaching

    Invited Lecturer

    2025 | Fundacion Instituto Leloir, Buenos Aires, Argentina

    • Introduction to Bioimage Analysis: Seminar and workshop introducing bioimage analysis techniques.
    • Link to Material

    2025 | Fundacion Instituto Leloir, Buenos Aires, Argentina

    2025 | Swedish University of Agricultural Sciences, Uppsala, Sweden

    • AI Tools in Biology: Seminar and workshop on artificial intelligence for bioimage analysis.
    • Link to Material

    2025 | Live Cell Imaging Facility, Karolinska Institutet, Stockholm, Sweden

    • Microscopy: Improve Your Imaging Skills - From Sample Preparation to Image Analysis: Course addressing theoretical and practical knowledge on experimental design on microscopy.
    • Link to video
    • Link to Material
    Teaching Assistant

    2024 | Center for Cellular Imaging, Gothemburg University, Gothemburg, Sweden

    • Introduction to Bioimage Analysis: Course addressing theoretical and practical knowledge on image analysis oriented to biology.

    2024 | NBIS, Uppsala, Sweden

    • Neural Nets and Deep Learning: Course addressing theoretical and practical knowledge on designing and understanding neural networks.

    2024 | Karolinska Institutet, Stockholm, Sweden

    • Microscopy: Improve Your Imaging Skills - From Sample Preparation to Image Analysis: Course addressing theoretical and practical knowledge on experimental design on microscopy.

    2019 - 2021 | Universidad de Buenos Aires, Buenos Aires, Argentina

    • Laboratory 3: Design, analysis and experimentation applied to electricity and magnetism. I was in charge of practical course.
    Graduate Teaching Assistant

    2017 - 2021 | Universidad de Buenos Aires, Buenos Aires, Argentina

    • Control and Instrumentation: Design, signal processing, automation and instrumentation of various devices found in laboratories.
    • Laboratory 5: Design, analysis and experimentation applied to different areas of physics.
    • Laboratory 3: Design, analysis and experimentation applied to electricity and magnetism.
    • Optical and Fluorescence Microscopy: Concepts and practice on design and experimentation with optical and fluorescence microscopes.
    • Physics 1 for biologists and geologists: Mandatory classical mechanics and electromagnetism practical exercises for biologists and geologists.
    Undergraduate Teaching Assistant

    2015 - 2017 | Universidad de Buenos Aires, Buenos Aires, Argentina

    • Physics 1 and 2 for biologists and geologists: Mandatory classical mechanics, electromagnetism, optics and thermodinamics practical exercises for biologists and geologists.
    • Laboratory 1 for chemists: Classical mechanics and optics experiments for chemists.
    • Laboratory 5: Design, analysis and experimentation applied to different areas of physics.
    • Latex and Python Programming: 3 practical classes consisting of 3 hs. dictated once per semester. Organization, diffusion and presentation of the Workshop by students.

    2010 | Hospital Universitario Austral, Buenos Aires, Argentina

  • Cellular and Molecular Medicine: Preparation and presentation of Molecular Biology practical lessons for Medicine undergraduate students.
  • Contact

    You can contact me through my work email if you are interested in freelance consulting or GitHub if it is a matter regarding coding or a repository.