Bilde av Opstad, Ida Sundvor
Photo: UiT
Bilde av Opstad, Ida Sundvor
Department of Physics and Technology ida.s.opstad@uit.no +4777645161 Here you can find me

Ida Sundvor Opstad


Postdoctoral Research Fellow / Ultrasound, Microwaves and Optics


  • Florian Ströhl, Deanna Wolfson, Ida Sundvor Opstad, Daniel Henry Hansen, Hong Mao, Balpreet Singh Ahluwalia :
    Label-free superior contrast with c-band ultra-violet extinction microscopy
    Light: Science & Applications (LSA) 2023 ARKIV / DOI
  • Gustav Godtliebsen, Kenneth Bowitz Larsen, Zambarlal Babanrao Bhujabal, Ida Sundvor Opstad, Mireia Nager Grifo, Abhinanda Ranjit Punnakkal et al.:
    High-resolution visualization and assessment of basal and OXPHOS-induced mitophagy in H9c2 cardiomyoblasts
    Autophagy 2023 ARKIV / DOI
  • Ayush Somani, Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia et al.:
    Virtual labeling of mitochondria in living cells using correlative imaging and physics-guided deep learning
    Biomedical Optics Express 2022 ARKIV / DOI
  • Ida Sundvor Opstad, Gustav Godtliebsen, Florian Ströhl, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal et al.:
    Three-dimensional structured illumination microscopy data of mitochondria and lysosomes in cardiomyoblasts under normal and galactose-adapted conditions
    Scientific Data 2022 ARKIV / DOI
  • Ida Sundvor Opstad :
    Multidisciplinary biophotonics, open science, and … plug & pray deep learning?
    Journal of Biophotonics 06. June 2022 ARKIV / DOI
  • Ida Sundvor Opstad, Daniel Henry Hansen, Sebastian Andres Acuña Maldonado, Florian Ströhl, Anish Priyadarshi, Jean-Claude Tinguely et al.:
    Fluorescence fluctuation-based super-resolution microscopy using multimodal waveguided illumination
    Optics Express 2021 ARKIV / DOI
  • Ida Sundvor Opstad, Gustav Godtliebsen, Balpreet Singh Ahluwalia, Truls Myrmel, Krishna Agarwal, Åsa birna Birgisdottir :
    Mitochondrial dynamics and quantification of mitochondria-derived vesicles in cardiomyoblasts using structured illumination microscopy
    Journal of Biophotonics 2021 ARKIV / DOI
  • Arif Ahmed Sekh, Ida Sundvor Opstad, Gustav Godtliebsen, Åsa Birna Birgisdottir, Balpreet Singh Ahluwalia, Krishna Agarwal et al.:
    Physics-based machine learning for subcellular segmentation in living cells
    Nature Machine Intelligence 2021 ARKIV / DOI
  • Suyog Jadhav, Sebastian Andres Acuña Maldonado, Ida Sundvor Opstad, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad :
    Artefact removal in ground truth deficient fluctuations-based nanoscopy images using deep learning
    Biomedical Optics Express 2021 ARKIV / DOI
  • Ayush Somani, Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia et al.:
    Digital Staining of Mitochondria in Label-free Live-cell Microscopy
    Springer 2021 DOI
  • Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal et al.:
    Learning nanoscale motion patterns of vesicles in living cells
    IEEE (Institute of Electrical and Electronics Engineers) 2020 ARKIV / DOI
  • Sebastian Andres Acuña Maldonado, Ida Sundvor Opstad, Fred Godtliebsen, Balpreet Singh Ahluwalia, Krishna Agarwal :
    Soft thresholding schemes for multiple signal classification algorithm
    Optics Express 2020 ARKIV / DOI
  • Ida Sundvor Opstad, Florian Ströhl, Marcus J. Fantham, Colin Hockings, Oliver Vanderpoorten, Francesca W. van Tartwijk et al.:
    A waveguide imaging platform for live-cell TIRF imaging of neurons over large fields of view
    Journal of Biophotonics 17. February 2020 ARKIV / DOI
  • Felix Hutmacher, Ida Sundvor Opstad, Fabian Hutmacher, Florian Ströhl :
    Visualizing the invisible: Microscopy and how it affects our understanding of cells and tissue
    Springer 2023
  • Anne Ingeborg Myhr, Deanna Wolfson, Ida Sundvor Opstad, Balpreet Singh Ahluwalia, Dhivya Borra Thiyagarajan, Torill Pauline Bakkelund Blix et al.:
    Nano- and micro-plastics and fish: Novel methods for detection and the role of RRI in such research
    2023
  • Ida Sundvor Opstad, Sebastian Andres Acuna Maldonado, Stefan Ströhl, Florian Ströhl, Balpreet Singh Ahluwalia, Krishna Agarwal :
    Blind reconstruction of challenging raw data outperforms commercial 3DSIM
    2023
  • Ida Sundvor Opstad, Sebastian Andres Acuna Maldonado, Åsa birna Birgisdottir, Balpreet Singh Ahluwalia, Krishna Agarwal :
    From super-resolution imaging to cellular dynamics
    2023
  • Ida Sundvor Opstad, Sebastian Andres Acuna Maldonado, Stefan Ströhl, Florian Ströhl, Balpreet Singh Ahluwalia, Krishna Agarwal :
    Blind reconstruction of challenging raw data outperforms commercial 3DSIM
    2023
  • Ida Sundvor Opstad, Kaushikaram Subramanian, Rajwinder Singh, Aissam Ikmi, Robert Prevedel, Isabel Kemmer et al.:
    Volumetric light-sheet data of freely moving sea anemone
    2023
  • Ida Sundvor Opstad :
    Replication Data for: Multiple signal classification as a blind reconstruction approach for three-dimensional structured illumination microscopy
  • Ida Sundvor Opstad :
    Fluorescence microscopy videos of mitochondria and endosomes in H9c2 cardiomyoblasts
    2023 DATA
  • Ida Sundvor Opstad :
    Fluorescence microscopy videos of mitochondria in H9c2 cardiomyoblasts
  • Jean-Claude Tinguely, Vishesh Kumar Dubey, Sebastian Andres Acuna Maldonado, Ida Sundvor Opstad, Luis Enrique Villegas Hernandez, Florian Ströhl et al.:
    Integrated optical circuits for multimodal super-resolution microscopy
    2023
  • Sebastian Andres Acuna Maldonado, Ida Sundvor Opstad, Luis Enrique Villegas Hernandez, Balpreet Singh Ahluwalia, Krishna Agarwal :
    MUSICAL: a family of computational techniques for fluorescence nanoscopy
    2023
  • Sebastian Andres Acuna Maldonado, Luis Enrique Villegas Hernandez, Ida Sundvor Opstad, Jean-Claude Tinguely, Balpreet Singh Ahluwalia, Krishna Agarwal :
    MUSICAL: results on chip nanoscopy
    2023
  • Ida Sundvor Opstad :
    Multidisciplinary Biophotonics, Open Science, and.. Plug & Pray Deep Learning?
    2022
  • Ida Sundvor Opstad :
    A look at mitochondria-derived vesicles using SIM
    2022
  • Ida Sundvor Opstad, Oliver Vanderpoorten :
    Panel discussion: Interdisciplinary research, diversity and career in photonics
    2022
  • Jean-Claude Tinguely, Ida Sundvor Opstad, Sebastian Acuña, Luis E. Villegas-Hernandez, Vishesh Dubey, Florian Ströhl et al.:
    Integrated photonics for super-resolution microscopy
    2022
  • Ida Sundvor Opstad, Balint Csoboz, Arsenii Zabirnyk :
    Big business comes with big responsibilities - Taking the leap by the Danish way
    Digitalt Life Norway Blog 2022
  • Ida Sundvor Opstad :
    Quantification of mitochondria-derived vesicles in cardiomyoblasts using structured illumination microscopy and machine learning-based segmentation
    2022
  • Felix Hutmacher, Ida Sundvor Opstad, Balpreet Singh Ahluwalia, Rudolf Fuchshofer :
    Super-resolution imaging of Schlemm’s canal using 3D SIM
    2022
  • Ida Sundvor Opstad, Deanna Wolfson, Balpreet Singh Ahluwalia, Krishna Agarwal, Tore Seternes, Roy Ambli Dalmo :
    Diving into fish skin: understanding cell avalanches and migrating keratocytes
    2022
  • Ida Sundvor Opstad, Daniel Henry Hansen, Sebastian Andres Acuna Maldonado, Florian Ströhl, Anish Priyadarshi, Jean-Claude Tinguely et al.:
    Large area super-resolution TIRFM of arctic fish species
    2022
  • Ida Sundvor Opstad, Gustav Godtliebsen, Balpreet Singh Ahluwalia, Truls Myrmel, Krishna Agarwal, Åsa birna Birgisdottir :
    Quantification of mitochondria‐derived vesicles in cardiomyoblasts using 3DSIM & machine learning-based segmentation
    2022
  • Ida Sundvor Opstad :
    Quantification of mitochondria-derived vesicles in cardiomyoblasts using structured illumination microscopy and machine learning-based segmentation
    2022
  • Ida Sundvor Opstad, Gustav Godtliebsen, Balpreet Singh Ahluwalia, Truls Myrmel, Krishna Agarwal, Åsa birna Birgisdottir :
    Mitochondrial dynamics and quantification of mitochondria-derived vesicles (MDVs) in cardiomyoblasts using 3DSIM
    2022
  • Ida Sundvor Opstad :
    Replication data for: Fluorescence fluctuation-based super-resolution microscopy using multimodal waveguided illumination
    2021 DATA
  • Ida Sundvor Opstad :
    Bringing optical nanoscopy to life: Super-resolution microscopy of living cells
    UiT Norges arktiske universitet 2021
  • Ida Sundvor Opstad, Felix Hutmacher :
    Replication Data for: Super-resolution imaging of Schlemm’s canal using 3D-SIM
    2021
  • Ida Sundvor Opstad, Gustav Godtliebsen, Åsa birna Birgisdottir :
    3DSIM data of mitochondria in the cardiomyoblast cell-line H9c2 adapted to either glucose or galactose
    2021 DATA
  • Ida Sundvor Opstad :
    Visualizing and quantifying mitochondria-derived vesicles in cardiomyoblasts
    2021
  • Ida Sundvor Opstad, Gustav Godtliebsen, Arif Ahmed Sekh :
    Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells
    2021 DATA
  • Krishna Agarwal, Ida Sundvor Opstad :
    Dataset publication: fluorescence imaging of salmon skin cells illuminated by multimodal waveguide chip
    digitallifenorway.org 2021
  • Krishna Agarwal, Ida Sundvor Opstad :
    PhD defence: Bringing optical nanoscopy to life – Super-resolution microscopy of living cells
    digitallifenorway.org 2021
  • Krishna Agarwal, Ida Sundvor Opstad :
    New publication: New chip-based microscopy technique enables super-resolution images over large areas to be captured of salmon skin cells
    digitallifenorway.org 2021
  • Ida Sundvor Opstad, Deanna Wolfson :
    Salmon keratocyte DIC microscopy videos
    2021 DATA
  • Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa B. Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal et al.:
    Learning Nanoscale Motion Patterns of Vesicles in Living Cells
    2020 ARKIV
  • Sebastian Andres Acuña Maldonado, Florian Ströhl, Balpreet Singh Ahluwalia, Ida Sundvor Opstad, Krishna Agarwal :
    MUSICAL – An imageJ tool for fluorescence nanoscopy of living cells
    2020
  • Ida Sundvor Opstad, Daniel Henry Hansen, Ole Kristian Svartaas, Eskil Mossige Kjølstad, Deanna Wolfson, Krishna Agarwal et al.:
    A CHIP-BASED IMAGING SYSTEM FOR FAST-CRAWLING SKIN CELLS OF ATLANTIC SALMON –A COOL SURFACE LAYER INVESTIGATION
    2020

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