Krishna Agarwal

9PUBLICATIONS
8CO-AUTHORS
Computational imagingNonlinear optics and spectroscopyMetabolic medicineLasers and quantum electronicsSemi- and unsupervised learning
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Publications (9)

|Jul 12, 2024
An UltraMNIST classification benchmark to train CNNs for very large images.

Deepak K Gupta, Udbhav Bamba, Abhishek Thakur

|Jun 20, 2024
Compact Linnik-type hyperspectral quantitative phase microscope for advanced classification of cellular components.

Himanshu Joshi, Bhanu Pratap Singh, Ankit Butola

|Jan 25, 2024
Fluorescence microscopy and correlative brightfield videos of mitochondria and vesicles in H9c2 cardiomyoblasts.

Ida S Opstad, Åsa B Birgisdottir, Krishna Agarwal

|May 25, 2023
Viewing life without labels under optical microscopes.

Biswajoy Ghosh, Krishna Agarwal

|Nov 12, 2021
Mitochondrial dynamics and quantification of mitochondria-derived vesicles in cardiomyoblasts using structured illumination microscopy.

Ida S Opstad, Gustav Godtliebsen, Balpreet Singh Ahluwalia

|Mar 04, 2021
Artefact removal in ground truth deficient fluctuations-based nanoscopy images using deep learning.

Suyog Jadhav, Sebastian Acuña, Ida S Opstad

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Frequent Collaborators

3 joint publications

Ida S Opstad

2 joint publications

Balpreet Singh Ahluwalia

2 joint publications

Dilip K Prasad

1 joint publications

Suyog Jadhav