Stochastically structured illumination microscopy scan less super resolution imaging

Abstract In super-resolution, a varying illumination image stack is required. This enriched dataset typically necessitates precise mechanical control and micron-scale optical alignment and repeatability. Here, we introduce a novel methodology for super-resolution microscopy called stochastically str...

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Main Authors: Denzel Fusco, Emmanouil Xypakis, Ylenia Gigante, Lorenza Mautone, Silvia Di Angelantonio, Giorgia Ponsi, Giancarlo Ruocco, Marco Leonetti
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:npj Imaging
Online Access:https://doi.org/10.1038/s44303-024-00047-x
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author Denzel Fusco
Emmanouil Xypakis
Ylenia Gigante
Lorenza Mautone
Silvia Di Angelantonio
Giorgia Ponsi
Giancarlo Ruocco
Marco Leonetti
author_facet Denzel Fusco
Emmanouil Xypakis
Ylenia Gigante
Lorenza Mautone
Silvia Di Angelantonio
Giorgia Ponsi
Giancarlo Ruocco
Marco Leonetti
author_sort Denzel Fusco
collection DOAJ
description Abstract In super-resolution, a varying illumination image stack is required. This enriched dataset typically necessitates precise mechanical control and micron-scale optical alignment and repeatability. Here, we introduce a novel methodology for super-resolution microscopy called stochastically structured illumination microscopy (S2IM), which bypasses the need for illumination control exploiting instead the random, uncontrolled movement of the target object. We tested our methodology within the clinically relevant ophthalmoscopic setting, harnessing the inherent saccadic motion of the eye to induce stochastic displacement of the illumination pattern on the retina. We opted to avoid human subjects by utilizing a phantom eye model featuring a retina composed of human induced pluripotent stem cells (iPSC) retinal neurons and replicating the ocular saccadic movements by custom actuators. Our findings demonstrate that S2IM unlocks scan-less super-resolution with a resolution enhancement of 1.91, with promising prospects also beyond ophthalmoscopy applications such as active matter or atmospheric/astronomical observation.
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id doaj-art-b440f6ff7ba4447392e8d7b3a96f4e81
institution Kabale University
issn 2948-197X
language English
publishDate 2024-11-01
publisher Nature Portfolio
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series npj Imaging
spelling doaj-art-b440f6ff7ba4447392e8d7b3a96f4e812024-11-10T12:38:57ZengNature Portfolionpj Imaging2948-197X2024-11-01211810.1038/s44303-024-00047-xStochastically structured illumination microscopy scan less super resolution imagingDenzel Fusco0Emmanouil Xypakis1Ylenia Gigante2Lorenza Mautone3Silvia Di Angelantonio4Giorgia Ponsi5Giancarlo Ruocco6Marco Leonetti7Center for Life Nano- & Neuro-Science, Italian Institute of TechnologyCenter for Life Nano- & Neuro-Science, Italian Institute of TechnologyCenter for Life Nano- & Neuro-Science, Italian Institute of TechnologyCenter for Life Nano- & Neuro-Science, Italian Institute of TechnologyCenter for Life Nano- & Neuro-Science, Italian Institute of TechnologyCenter for Life Nano- & Neuro-Science, Italian Institute of TechnologyCenter for Life Nano- & Neuro-Science, Italian Institute of TechnologyCenter for Life Nano- & Neuro-Science, Italian Institute of TechnologyAbstract In super-resolution, a varying illumination image stack is required. This enriched dataset typically necessitates precise mechanical control and micron-scale optical alignment and repeatability. Here, we introduce a novel methodology for super-resolution microscopy called stochastically structured illumination microscopy (S2IM), which bypasses the need for illumination control exploiting instead the random, uncontrolled movement of the target object. We tested our methodology within the clinically relevant ophthalmoscopic setting, harnessing the inherent saccadic motion of the eye to induce stochastic displacement of the illumination pattern on the retina. We opted to avoid human subjects by utilizing a phantom eye model featuring a retina composed of human induced pluripotent stem cells (iPSC) retinal neurons and replicating the ocular saccadic movements by custom actuators. Our findings demonstrate that S2IM unlocks scan-less super-resolution with a resolution enhancement of 1.91, with promising prospects also beyond ophthalmoscopy applications such as active matter or atmospheric/astronomical observation.https://doi.org/10.1038/s44303-024-00047-x
spellingShingle Denzel Fusco
Emmanouil Xypakis
Ylenia Gigante
Lorenza Mautone
Silvia Di Angelantonio
Giorgia Ponsi
Giancarlo Ruocco
Marco Leonetti
Stochastically structured illumination microscopy scan less super resolution imaging
npj Imaging
title Stochastically structured illumination microscopy scan less super resolution imaging
title_full Stochastically structured illumination microscopy scan less super resolution imaging
title_fullStr Stochastically structured illumination microscopy scan less super resolution imaging
title_full_unstemmed Stochastically structured illumination microscopy scan less super resolution imaging
title_short Stochastically structured illumination microscopy scan less super resolution imaging
title_sort stochastically structured illumination microscopy scan less super resolution imaging
url https://doi.org/10.1038/s44303-024-00047-x
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