Bilde av Agarwal, Krishna
Bilde av Agarwal, Krishna
Department of Physics and Technology krishna.agarwal@uit.no +4777645157 You can find me here

Krishna Agarwal


Professor / Ultrasound, Microwaves and Optics

Job description

My research lies at the nexus of physics, mathematics, and engineering, for developing revolutionary imaging solutions that aid research in clinical biology and medicine. I believe that good teams make great science.


  • Pragyan Banerjee, Shivam Milind Akarte, Prakhar Kumar, Muhammad Shamsuzzaman, Ankit Butola, Krishna Agarwal et al.:
    High-resolution imaging in acoustic microscopy using deep learning
    Machine Learning: Science and Technology 2024 ARKIV / DOI
  • Gauri Arora, Ankit Butola, Ruchi Rajput, Rohit Agarwal, Krishna Agarwal, Ludwig Alexander Horsch et al.:
    Taxonomy of hybridly polarized Stokes vortex beams
    Optics Express 2024 ARKIV / DOI
  • Himanshu Joshi, Bhanu Pratap Singh, Ankit Butola, Varun Surya, Deepika Mishra, Krishna Agarwal et al.:
    Compact Linnik-type hyperspectral quantitative phase microscope for advanced classification of cellular components
    Journal of Biophotonics 2024 DOI
  • Biswajoy Ghosh, Jyotirmoy Chatterjee, Ranjan Rashmi Paul, Sebastian Acuña, Pooja Lahiri, Mousumi Pal et al.:
    Molecular histopathology of matrix proteins through autofluorescence super-resolution microscopy
    Scientific Reports 2024 ARKIV / DOI
  • Dhivya Borra Thiyagarajan, Marie H. S. Stette, Muhammad Bilal Afzal, Balpreet Singh Ahluwalia, Krishna Agarwal, Roy Ambli Dalmo et al.:
    3D imaging shows nano- and microparticles are internalized by salmon skin and corneal epithelial cells
    Frontiers in Marine Science 2024 ARKIV / DOI
  • Sunil Bhatt, Ankit Butola, Sebastian Acuña, Daniel Henry Hansen, Jean-Claude Tinguely, Mona Nystad et al.:
    Characterizing the consistency of motion of spermatozoa through nanoscale motion tracing
    F&S Science 2024 DOI
  • Yingying Qin, Ankit Butola, Krishna Agarwal :
    3D full-wave multi-scattering forward solver for coherent microscopes
    Optics Express 2023 ARKIV / DOI
  • Sunil Bhatt, Ankit Butola, Anand Kumar, Pramila Thapa, Akshay Joshi, Suyog S. Jadhav et al.:
    Single-shot multispectral quantitative phase imaging of biological samples using deep learning
    Applied Optics 2023 ARKIV / DOI
  • Abhinanda Ranjit Punnakkal, Gustav Godtliebsen, Ayush Somani, Sebastian Andres Acuna Maldonado, Åsa birna Birgisdottir, Dilip K. Prasad et al.:
    Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
    Journal of Visualized Experiments 2023 ARKIV / DOI
  • Ayush Somani, Pragyan Banerjee, Manu Rastogi, Anowarul Habib, Krishna Agarwal, Dilip Kumar Prasad :
    Image Inpainting With Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy
    IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023 ARKIV / FULLTEKST / DOI
  • Abhinanda Ranjit Punnakkal, Suyog Sakhahari Jadhav, Krishna Agarwal, Ludwig Alexander Horsch, Dilip Kumar Prasad :
    MiShape: 3D Shape Modelling of Mitochondria in Microscopy
    arXiv.org 2023 DOI
  • Rohit Agarwal, Ankit Butola, Ludwig Alexander Horsch, Dilip Kumar Prasad, Krishna Agarwal :
    Taxonomy of hybridly polarized Stokes vortex beams
    arXiv.org 2023 DOI
  • Yingying Qin, Ankit Butola, Krishna Agarwal :
    3D refractive index reconstruction from phaseless coherent optical microscopy data using multiple scattering-based inverse solvers—a study
    Inverse Problems 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
  • Biswajoy Ghosh, Krishna Agarwal :
    Viewing life without labels under optical microscopes
    Communications Biology 2023 ARKIV / DOI
  • Pragyan Banerjee, Sibasish Mishra, Nitin Yadav, Krishna Agarwal, Frank Melandsø, Dilip Kumar Prasad et al.:
    Image inpainting in acoustic microscopy
    AIP Advances 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
  • Ankit Butola, Sebastian Andres Acuna Maldonado, Daniel Henry Hansen, Krishna Agarwal :
    Scalable-resolution structured illumination microscopy
    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
  • Luis Villegas, Vishesh Kumar Dubey, Mona Nystad, Jean-Claude Tinguely, David Andre Coucheron, Firehun Tsige Dullo et al.:
    Chip-based multimodal super-resolution microscopy for histological investigations of cryopreserved tissue sections
    Light: Science & Applications (LSA) 2022 ARKIV / DOI
  • Prakhar Kumar, Nitin Yadav, Muhammad Shamsuzzaman, Krishna Agarwal, Frank Melandsø, Anowarul Habib :
    Numerical method for tilt compensation in scanning acoustic microscopy
    Measurement 2022 DOI
  • Nikhil Jayakumar, Firehun Tsige Dullo, Vishesh Kumar Dubey, Azeem Ahmad, Florian Ströhl, Jennifer Cauzzo et al.:
    Multi-moded high-index contrast optical waveguide for super-contrast high-resolution label-free microscopy
    Nanophotonics 2022 ARKIV / DOI
  • Zicheng Liu, Mayank Roy, Dilip K. Prasad, Krishna Agarwal :
    Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering
    IEEE Transactions on Computational Imaging 2022 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
  • Biswajoy Ghosh, Kristen Andreassen Fenton, Krishna Agarwal :
    Gradient Light Interface Microscopy for Labelfree Detection of Early Changes in kidney Cells Embedded in a Soft and Stiff Hydrogel Matrix
    2023
  • Biswajoy Ghosh, Krishna Agarwal :
    GelMA Hydrogel Mechanics Affect the Collective Migration of Fibroblast Cells
    2023
  • Sebastian Andres Acuna Maldonado, Krishna Agarwal :
    MUSI-tAF: Autofluorescence-based Super-Resolution of Collagen Fibrils in Fixed Tissues for Density Estimation
    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, 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
  • 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
  • Yingying Qin, Krishna Agarwal :
    3D Full Wave Electromagnetic Modeling of Label-free Optical Microscopes
    2023
  • Ankit Butola, Sebastian Andres Acuna Maldonado, Daniel Henry Hansen, Krishna Agarwal :
    Multiscale resolution in Structured illumination microscopy
    2023
  • Sebastian Andres Acuna Maldonado, Krishna Agarwal :
    MUSICAL – a versatile computational nanoscopy approach
    2023
  • Yingying Qin, Ankit Butola, Krishna Agarwal :
    Full-wave multiple-scattering forward modeling for conventional label-free microscope
    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
  • Yingying Qin, Ankit Butola, Krishna Agarwal :
    3D Full Wave Electromagnetic Modeling of Label-free Optical Microscopes
    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
  • Sebastian Andres Acuna Maldonado, Krishna Agarwal :
    MUSICAL – a versatile super-resolution microscopy solution for gentle imaging of physical characteristics of biological samples
    2023
  • Luis Enrique Villegas Hernandez, Vishesh Kumar Dubey, Sebastian Andres Acuna Maldonado, Hong Mao, Jean-Claude Tinguely, Krishna Agarwal et al.:
    Photonic chip: a high-throughput multimodal nanoscopy platform for histopathology
    2023
  • Sunil Bhatt, Ankit Butola, Sebastian Andres Acuna Maldonado, Daniel Henry Hansen, Jean-Claude Tinguely, Dalip Singh Mehta et al.:
    Quantitative phase imaging for tracing the motion of waveguide trapped bead particle
    2023
  • Nikhil Jayakumar, Firehun Tsige Dullo, Vishesh Kumar Dubey, Azeem Ahmad, Florian Ströhl, Jennifer Cauzzo et al.:
    Erratum: Multi-moded high-index contrast optical waveguide for super-contrast high-resolution label-free microscopy (Nanophotonics DOI: 10.1515/nanoph-2022-0500.pdf)
    Nanophotonics 2022 DOI
  • 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
  • Ankit Butola, David Andre Coucheron, Karolina Szafranska, Azeem Ahmad, Hong Mao, Jean-Claude Tinguely et al.:
    Quantitative phase imaging and on-chip nanoscopy for 3D imaging of liver sinusoidal endothelial cells
    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
  • Rohit Agarwal, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad :
    Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs
    2022 ARKIV
  • Luis Villegas, Vishesh Kumar Dubey, Mona Nystad, Kristin Andreassen Fenton, Ganesh Acharya, Jose M. Mateos et al.:
    Chip-based multimodal microscopy for histological investigations of cryopreserved tissue sections
    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 :
    Mitochondrial dynamics and quantification of mitochondria-derived vesicles (MDVs) in cardiomyoblasts using 3DSIM
    2022

  • The 50 latest publications is shown on this page. See all publications in Cristin here →