activity
20182026
most citedStructured illumination microscopy using a photonic chip

142 citations · 384 across the 38 of their papers we have counts for

collaborators
Showing 2020Show all

9 papers · 1 filter

physics.optics2020

High throughput spatially sensitive single-shot quantitative phase microscopy

Azeem Ahmad, Vishesh Dubey, Nikhil Jayakumar +7

High space-bandwidth product with high spatial phase sensitivity is indispensable for a single-shot quantitative phase microscopy (QPM) system. It opens avenue for widespread appli…

eess.IV2020★ 16 cited

Soft thresholding schemes for multiple signal classification algorithm

Sebastian Acuña, Ida S. Opstad, Fred Godtliebsen +2

Multiple signal classification algorithm (MUSICAL) exploits temporal fluctuations in fluorescence intensity to perform super-resolution microscopy by computing the value of a super…

eess.IV2020★ 2 cited

Simulation-supervised deep learning for analysing organelles states and behaviour in living cells

Arif Ahmed Sekh, Ida S. Opstad, Rohit Agarwal +5

In many real-world scientific problems, generating ground truth (GT) for supervised learning is almost impossible. The causes include limitations imposed by scientific instrument,…

eess.IV2020★ 12 cited

Fluorescence fluctuations-based super-resolution microscopy techniques: an experimental comparative study

Ida S. Opstad, Sebastian Acuña, Luís Enrique Villegas Hernandez +4

Fluorescence fluctuations-based super-resolution microscopy (FF-SRM) is an emerging field promising low-cost and live-cell compatible imaging beyond the resolution of conventional…

physics.optics2020★ 20 cited

On-chip TIRF nanoscopy by applying Haar wavelet kernel analysis on intensity fluctuations induced by chip illumination

Nikhil Jayakumar, Øystein I Helle, Krishna Agarwal +1

Photonic-chip based TIRF illumination has been used to demonstrate several on-chip optical nanoscopy methods. The sample is illuminated by the evanescent field generated by the ele…

physics.bio-ph2020

Multi-modal on-chip nanoscopy and quantitative phase image reveals the morphology of liver sinusoidal enodthelial cells

David A. Coucheron, Ankit Butola, Karolina Szafranska +6

Visualization of three-dimensional morphological changes in the subcellular structures of a biological specimen is one of the greatest challenges in life science. Despite conspicuo…

physics.bio-ph2020★ 25 cited

High space-bandwidth in quantitative phase imaging using partially spatially coherent optical coherence microscopy and deep neural network

Ankit Butola, Sheetal Raosaheb Kanade, Sunil Bhatt +7

Quantitative phase microscopy (QPM) is a label-free technique that enables to monitor morphological changes at subcellular level. The performance of the QPM system in terms of spat…

physics.app-ph2020★ 26 cited

A transparent waveguide chip for versatile TIRF-based microscopy and nanoscopy

Anish Priyadarshi, Firehun Tsige Dullo, Deanna L. Wolfson +6

Total internal reflection fluorescence microscopy (TIRF) has enabled low-background, live-cell friendly imaging of cell surfaces and other thin samples thanks to the shallow penetr…

physics.bio-ph2020★ 1 cited

High spatially sensitive quantitative phase imaging assisted with deep neural network for classification of human spermatozoa under stressed condition

Ankit Butola, Daria Popova, Dilip K Prasad +8

Sperm cell motility and morphology observed under the bright field microscopy are the only criteria for selecting particular sperm cell during Intracytoplasmic Sperm Injection (ICS…