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...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-11-01
|
| Series: | npj Imaging |
| Online Access: | https://doi.org/10.1038/s44303-024-00047-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846171692278218752 |
|---|---|
| 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. |
| format | Article |
| id | doaj-art-b440f6ff7ba4447392e8d7b3a96f4e81 |
| institution | Kabale University |
| issn | 2948-197X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| 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 |
| work_keys_str_mv | AT denzelfusco stochasticallystructuredilluminationmicroscopyscanlesssuperresolutionimaging AT emmanouilxypakis stochasticallystructuredilluminationmicroscopyscanlesssuperresolutionimaging AT yleniagigante stochasticallystructuredilluminationmicroscopyscanlesssuperresolutionimaging AT lorenzamautone stochasticallystructuredilluminationmicroscopyscanlesssuperresolutionimaging AT silviadiangelantonio stochasticallystructuredilluminationmicroscopyscanlesssuperresolutionimaging AT giorgiaponsi stochasticallystructuredilluminationmicroscopyscanlesssuperresolutionimaging AT giancarloruocco stochasticallystructuredilluminationmicroscopyscanlesssuperresolutionimaging AT marcoleonetti stochasticallystructuredilluminationmicroscopyscanlesssuperresolutionimaging |