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Bilde av Agarwal, Krishna
Bilde av Agarwal, Krishna
Department of Physics and Technology krishna.agarwal@uit.no +4777645157 Tromsø TEK 3.058

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.

  • Anowarul Habib, Pragyan Banerjee, Sibasish Mishra, Nitin Yadav, Krishna Agarwal, Frank Melandsø et al.:
    Image inpainting in acoustic microscopy
    AIP Advances 2023 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
  • Ankit Butola, Sebastian Andres Acuna Maldonado, Daniel Henry Hansen, Krishna Agarwal :
    Scalable-resolution structured illumination microscopy
    Optics Express 2022 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
  • Prakhar Kumar, Nitin Yadav, Muhammad Shamsuzzaman, Krishna Agarwal, Frank Melandsø, Anowarul Habib :
    Numerical method for tilt compensation in scanning acoustic microscopy
    Measurement 2022 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
  • 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
  • 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
  • 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
  • Quan Do, Sebastian Andres Acuña Maldonado, Jon Ivar Kristiansen, Krishna Agarwal, Hoai Phuong Ha :
    Highly Efficient and Scalable Framework for High-Speed Super-Resolution Microscopy
    IEEE Access 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
  • Luis Villegas, Vishesh Kumar Dubey, Jean-Claude Tinguely, David Andre Coucheron, Anish Priyadarshi, Sebastian Andres Acuña Maldonado et al.:
    Photonic-chip: a multimodal imaging tool for histopathology.
    Journal of the Optical Society of America. B, Optical physics 2021 ARKIV / DOI
  • Krishnendu Samanta, Swagato Sarkar, Sebastian Andres Acuna Maldonado, Joby Joseph, Balpreet Singh Ahluwalia, Krishna Agarwal :
    Blind Super-Resolution Approach for Exploiting Illumination Variety in Optical-Lattice Illumination Microscopy
    ACS Photonics 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
  • Sebastian Andres Acuna Maldonado, MAYANK ROY, Luis Villegas, Vishesh Kumar Dubey, Balpreet Singh Ahluwalia, Krishna Agarwal :
    Deriving high contrast fluorescence microscopy images through low contrast noisy image stacks
    Biomedical Optics Express 2021 ARKIV / DOI
  • Ankit Butola, David Andre Coucheron, Karolina Szafranska, Azeem Ahmad, Hong Mao, Jean-Claude Tinguely et al.:
    Multimodal on-chip nanoscopy and quantitative phase imaging reveals the nanoscale morphology of liver sinusoidal endothelial cells
    Proceedings of the National Academy of Sciences of the United States of America 2021 ARKIV / FULLTEKST / 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
  • Florian Ströhl, Suyog Jadhav, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad :
    Object detection neural network improves Fourier ptychography reconstruction
    Optics Express 2020 ARKIV / DOI
  • Zicheng Liu, Krishna Agarwal :
    Silicon substrate significantly alters dipole-dipole resolution in coherent microscope
    Optics Express 2020 ARKIV / DOI
  • Nikhil Jayakumar, Øystein I. Helle, Krishna Agarwal, Balpreet Singh Ahluwalia :
    On-chip TIRF nanoscopy by applying Haar wavelet kernel analysis on intensity fluctuations induced by chip illumination
    Optics Express 2020 ARKIV / DOI
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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, 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
  • Shivani Bhardwaj, Krishna Agarwal, Balpreet Singh Ahluwalia :
    2021 INTPART WINTER WORKSHOP ON "Microscopy, Bioimaging and Artificial Intelligence"
    2021
  • Krishna Agarwal, Oliver Vanderpoorten :
    ”How to catch a cold” – Nanofluidic chips for trapping of biological nanoparticles
    digitallifenorway.org 2021
  • Sebastian Andres Acuña Maldonado, Krishna Agarwal :
    Autothresholding in MUSICAL using non-orthogonal signal-noise separation
    2021
  • Vishesh Kumar Dubey, Luis Enrique Villegas Hernández, Jean-Claude Tinguely, David Andre Coucheron, Anish Priyadarshi, Sebastian Acuña et al.:
    Multimodal super-resolution imaging for histopathology applications
    2021
  • Krishna Agarwal, Sebastian Andres Acuña Maldona :
    New publication: New chip-based microscopy technique enables super-resolution images over large areas to be captured of salmon skin cells
    digitallifenorway.org 2021
  • Krishna Agarwal, Ida Sundvor Opstad :
    Dataset publication: fluorescence imaging of salmon skin cells illuminated by multimodal waveguide chip
    digitallifenorway.org 2021
  • Vishesh Kumar Dubey, Luis Enrique Villegas Hernández, Mona Nystad, Jean-Claude Tinguely, David Andre Coucheron, Firehun Tsige Dullo et al.:
    Photonic-chip for multimodal super-resolution imaging in histopathology applications
    2021
  • Krishna Agarwal :
    New publication: Myth-bursting work on microscopy
    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, Sebastian Andres Acuña Maldona :
    New publication: Use of deep learning to improve quality of nanoscopy images
    digitallifenorway.org 2021
  • Krishna Agarwal, Sebastian Andres Acuña Maldona :
    Super-resolution with lattice illumination
    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
  • Krishna Agarwal :
    Welcome to Arctic Optica Student Chapter and ongoing image contest
    digitallifenorway.org 2021
  • Nikhil Jayakumar, Firehun Tsige Dullo, Vishesh Kumar Dubey, Azeem Ahmad, Jennifer Cauzzo, Eduarda Mazagao Guerreiro et al.:
    Label-free imaging on waveguide platform with enhanced resolution and contrast
    2021
  • 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
  • Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad :
    Data-intelligence for microscopy data
    2020

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