Structured illumination microscopy using unknown speckle patterns

Mudry, Emeric; Belkebir, Kamal; Girard, Jules; Savatier, Julien; Moal, Eric Le; Nicoletti, Carmine; Allain, Marc; Sentenac, Anne

doi:10.1038/nphoton.2012.83

Cited by 356 publications

(305 citation statements)

References 18 publications

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“…Reconstruction algorithms which use the standard Wiener filter approach will simply amplify the noise in the SIM passbands and yield an image which is essentially a standard TIRF image overlaid with hexagonal (or "honeycomb") ringing artifacts ( Figure 6A, right panel). A possible enhancement might be the use of iterative 29,30 or blind reconstruction algorithms 31,32 to reduce these artifacts depending on the type of sample. We recommend the use of the ImageJ plugin SIMcheck to check the quality of SIM data before and after reconstruction .…”

Section: Representative Resultsmentioning

confidence: 99%

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

Young

Ströhl

Kaminski

2016

JoVE

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Optical super-resolution imaging with structured illumination microscopy (SIM) is a key technology for the visualization of processes at the molecular level in the chemical and biomedical sciences. Although commercial SIM systems are available, systems that are custom designed in the laboratory can outperform commercial systems, the latter typically designed for ease of use and general purpose applications, both in terms of imaging fidelity and speed. This article presents an in-depth guide to building a SIM system that uses total internal reflection (TIR) illumination and is capable of imaging at up to 10 Hz in three colors at a resolution reaching 100 nm. Due to the combination of SIM and TIRF, the system provides better image contrast than rival technologies. To achieve these specifications, several optical elements are used to enable automated control over the polarization state and spatial structure of the illumination light for all available excitation wavelengths. Full details on hardware implementation and control are given to achieve synchronization between excitation light pattern generation, wavelength, polarization state, and camera control with an emphasis on achieving maximum acquisition frame rate. A step-by-step protocol for system alignment and calibration is presented and the achievable resolution improvement is validated on ideal test samples. The capability for video-rate super-resolution imaging is demonstrated with living cells.

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Section: Representative Resultsmentioning

confidence: 99%

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

Young

Ströhl

Kaminski

2016

JoVE

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“…Here, a sample is illuminated with high-frequency sinusoidal striped light, which can be generated by laser light passing through a movable optical grating and projected via the objective onto the sample 32,[45][46][47][48][49] (Figure 3 b). However, SSIM usually requires high laser power to achieve nonlinearity for improvement of resolution 32,45,46 .…”

Section: Nanoscopy With Defined Illumination Pattern (Sted Resolftmentioning

confidence: 99%

Optical Nanoscopy Tools for Biologists:Advancements of Fluorophores and Optics for High Resolution and Live Imaging

Tiwari

Tiwari²,

Sahoo

2017

Current Science

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Optical nanoscopy has emerged as an important tool for live cell imaging at the nanoscale resolution in the field of life sciences. The 2014 Nobel Prize in Chemistry for this invention proves its importance in multidisciplinary areas of science. Several optical nanoscopic methods have been introduced in the past decade to achieve diffraction-unlimited resolution by implementing new optical setup or utilization of unique photoswitchable fluorophores, or both. In this review we extensively discuss the biological importance of nanoscopy and the latest advancements and types of fluorophores needed for imaging. This review will be a starter-kit for biologists working in the field of bioimaging.

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“…Markov speckle can be immediately applied to improve speckle removal algorithms (where it is a common assumption [1,8,10]), or offer an additional constraint to enhance speckle-based super-resolution reconstruction [7], for example. In this section, we focus on the application of Markov speckle to random bit generation.…”

Section: Application: Entropy Maximizationmentioning

confidence: 99%

“…Often, however, this sampling condition is not satisfied. Setups that benefit from detecting speckle enlarged across multiple sensor pixels include those for optical encryption [4], optical phase conjugation [5], speckle shape analysis [6], and structured illumination [7], among others. The correlations that arise between neighboring pixels are rarely modeled exactly, complicating attempts to calculate a detected field's entropy, determine specifics about a scattering source or remove unwanted speckle noise, for example.…”

Section: Introductionmentioning

confidence: 99%

Markov speckle for efficient random bit generation

et al. 2012

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Optical speckle is commonly observed in measurements using coherent radiation. While lacking experimental validation, previous work has often assumed that speckle's random spatial pattern follows a Markov process. Here, we present a derivation and experimental confirmation of conditions under which this assumption holds true. We demonstrate that a detected speckle field can be designed to obey the first-order Markov property by using a Cauchy attenuation mask to modulate scattered light. Creating Markov speckle enables the development of more accurate and efficient image post-processing algorithms, with applications including improved de-noising, segmentation and super-resolution. To show its versatility, we use the Cauchy mask to maximize the entropy of a detected speckle field with fixed average speckle size, allowing cryptographic applications to extract a maximum number of useful random bits from speckle images.

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Structured illumination microscopy using unknown speckle patterns

Abstract: International audienc

Cited by 356 publications

References 18 publications

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

Optical Nanoscopy Tools for Biologists:Advancements of Fluorophores and Optics for High Resolution and Live Imaging

Markov speckle for efficient random bit generation

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