Optical sectioning

Résumé

Optical sectioning is the process by which a suitably designed microscope can produce clear images of focal planes deep within a thick sample. This is used to reduce the need for thin sectioning using instruments such as the microtome. Many different techniques for optical sectioning are used and several microscopy techniques are specifically designed to improve the quality of optical sectioning. Good optical sectioning, often referred to as good depth or z resolution, is popular in modern microscopy as it allows the three-dimensional reconstruction of a sample from images captured at different focal planes. Optical sectioning in traditional light microscopes Depth of field In an ideal microscope, only light from the focal plane would be allowed to reach the detector (typically an observer or a CCD) producing a clear image of the plane of the sample the microscope is focused on. Unfortunately a microscope is not this specific and light from sources outside the focal plane a

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https://en.wikipedia.org/wiki/Optical_sectioning

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In this thesis new imaging approaches for optical microscopy are proposed and studied. They are based on the use of dynamic structured illumination in combination with a demodulation detection concept employing CMOS image detectors. Two particular implementations are suggested: real-time optical sectioning microscopy and whole field quantitative polarization microscopy. Optical sectioning, i.e depth resolved imaging, allows observation of thin sections in volumetric samples. In its classical configuration the wide-field microscope does not allow optical sectioning of the investigated objects. In this thesis the optical sectioning in a wide-field microscope is achieved by illuminating the sample with a continuously moving single spatial frequency pattern, which temporarily modulates the signal obtained on the photodetector. Only the object parts that are in the focus have a good contrast and consequently generate stronger signal on the detector. The optically sectioned images are obtained employing a CMOS image detector, which demodulates the time-dependent component of the image. Two different systems for real-time acquisition of optically sectioned images are proposed. The first one is based on a specially designed smart-pixel-detector-array (SPDA), which allows performing the signal processing by an electronic circuit integrated to each pixel of the sensor. The second system utilizes a commercial CMOS image sensor. Here, the images are treated by a digital signal processor (DSP) integrated into the camera (iMVS-155). Both approaches provide real-time acquisition of optically sectioned images. The proof of principle for the new method is demonstrated by imaging artificial three-dimensional reflective samples. The optical sectioning imaging of biological samples in bright-field mode and in fluorescence mode is also demonstrated. The optical sectioning performances of the studied systems are similar to that of the confocal microscope. However the new method has some advantages over the classical confocal system: e.g. the difficulties with the alignment and the post-processing inherent to the confocal system are avoided. The theoretical framework presented in the thesis describes the image formation in structured illumination for both reflective and fluorescent samples. The influence of longitudinal chromatic aberration and spherical aberration caused by specimen induced index mismatch on depth discrimination property are studied. In extension to the work related to optically sectioned microscopy, the quantitative polarization microscopy imaging method is proposed as a new application for CMOS detectors. The polarization state of the illuminating light is dynamically changed and the demodulation detection approach is employed to extract the retardance and azimuth of the birefringent sample in real-time; for a whole field of view. Examples of polarization sensitive measurements for different samples are presented. The theoretical analysis is performed using the Jones formalism. Finally, the potentials and limitations of the CMOS detectors for applications in optical microscopy are discussed. Thanks to constant advancements in CMOS technology, the acquisition speed, resolution and sensitivity of new CMOS detectors generations have been improved. This will allow adapting the methods proposed in this thesis for investigations of fast dynamic process where high temporal and spatial resolution is required.

EPFL2004

Chargement

Imaging tissues and cells beyond the diffraction limit with structured illumination microscopy and Bayesian image reconstruction

Tomas Lukes, Jakub Pospisil

Background: Structured illumination microscopy (SIM) is a family of methods in optical fluorescence microscopy that can achieve both optical sectioning and super-resolution effects. SIM is a valuable method for high-resolution imaging of fixed cells or tissues labeled with conventional fluorophores, as well as for imaging the dynamics of live cells expressing fluorescent protein constructs. In SIM, one acquires a set of images with shifting illumination patterns. This set of images is subsequently treated with image analysis algorithms to produce an image with reduced out-of-focus light (optical sectioning) and/or with improved resolution (super-resolution). Findings: Five complete, freely available SIM datasets are presented including raw and analyzed data. We report methods for image acquisition and analysis using open-source software along with examples of the resulting images when processed with different methods. We processed the data using established optical sectioning SIM and super-resolution SIM methods and with newer Bayesian restoration approaches that we are developing. Conclusions: Various methods for SIM data acquisition and processing are actively being developed, but complete raw data from SIM experiments are not typically published. Publically available, high-quality raw data with examples of processed results will aid researchers when developing new methods in SIM. Biologists will also find interest in the high-resolution images of animal tissues and cells we acquired. All of the data were processed with SIMToolbox, an open-source and freely available software solution for SIM.

Oxford University Press (OUP)2019

Chargement

High-throughput and adaptive super-resolution fluorescence microscopy of organelles

Dora Mahecic

Fluorescence super-resolution microscopy has allowed unprecedented insight into the workings of biological systems below the diffraction limit of light. Over the past decade, it has overcome several challenges to deliver 3D, multi-color and faster imaging techniques, which have found many applications in deciphering the workings and structure of organelles â specialized cellular compartments whose shape and dynamics serve their specific functions. However, most super-resolution techniques are laborious and slow, and there are existing challenges in achieving sufficient throughput for collection of large datasets and capturing dynamic processes in living cells. The aim of this thesis is to address issues of limited throughput, temporal resolution and live-cell compatibility, with application to centriole architecture and mitochondrial dynamics. The design of a novel flat-fielding module for multi-focal excitation which â once integrated into an instant structured illumination microscope â allows the capture of larger fields of view with uniform illumination and hence results in increased throughput. This flat-fielded microscope allows multi-color, 3-dimensional imaging at double the diffraction-limited resolution of up to 100 mammalian cells within 1-2 minutes. Furthermore, combined with advanced sample preparation using expansion microscopy, the setup achieves an effective resolution of ~35 nm, comparable to some of the more powerful super-resolution techniques, but at 100-1000 times increased throughput. To showcase this improvement, we study the distribution of post-translational modifications within the centriole, revealing previously unobserved molecular organization. Second, with fast, live-cell imaging, we investigate the role of membrane bending energy and tension in mitochondrial division. While many molecular factors involved in this process have been identified, little is known about its physical requirements. By analyzing mitochondrial constrictions enriched in Drp1 that divide successfully or reverse, we establish that mitochondrial constrictions with higher bending energy are more likely to divide. Furthermore, by analyzing changes in mitochondrial shape and employing a novel membrane tension sensor, we observe that conditions under which mitochondrial membrane tension is increased, result in more successful divisions. These observations are supported by a model in which membrane bending energy increases the elastic energy at the constriction site, bringing it closer to the energy barrier to fission, while membrane tension acts as a fluctuation to overcome the remaining residual energy. Finally, to overcome existing trade-offs between temporal resolution and imaging duration, we develop an acquisition framework for smart and adaptive temporal sampling. By adapting the temporal resolution is in response to events of interest, they are captured at high imaging speed, while preserving the sample during a lack thereof. Using the accumulation of Drp1 to detect mitochondrial constriction sites allowed us to adapt the imaging speed to capture mitochondrial constrictions at high temporal resolution while preserving the sample when such events are lacking. Overall, this framework provides both high temporal resolution and long imaging times when needed, decreasing resulting phototoxicity, photobleaching and amount of redundant data.

EPFL2020

Chargement

EPFL2004

High-throughput and adaptive super-resolution fluorescence microscopy of organelles

Dora Mahecic

EPFL2020