scholarly journals Tomographic Diffractive Microscopy: A Review of Methods and Recent Developments

2019 ◽  
Vol 9 (18) ◽  
pp. 3834
Author(s):  
Zhang ◽  
Li ◽  
Godavarthi ◽  
Ruan
Keyword(s):  
Super Resolution ◽  
Geometrical Parameters ◽  
Wide Field ◽  
Far Field ◽  
Label Free ◽  
Microscopy Technique ◽  
Nano Structures ◽  
Significant Difference ◽  
Recent Developments ◽  
Collimated Beam

Tomographic diffractive microscopy (TDM) is a label-free, far-field, super-resolution microscope. The significant difference between TDM and wide-field microscopy is that in TDM the sample is illuminated from various directions with a coherent collimated beam and the complex diffracted field is collected from many scattered angles. By utilizing inversion procedures, the permittivity/refractive index of investigated samples can be retrieved from the measured diffracted field to reconstruct the geometrical parameters of a sample. TDM opens up new opportunities to study biological samples and nano-structures and devices, which require resolution beyond the Rayleigh limit. In this review, we describe the principles and recent advancements of TDM and also give the perspectives of this fantastic microscopy technique.

Applications of nanostructures in wide-field, label-free super resolution microscopy

2018 ◽  
Vol 27 (11) ◽  
pp. 118704 ◽  
Author(s):  
Xiaowei Liu ◽  
Chao Meng ◽  
Xuechu Xu ◽  
Mingwei Tang ◽  
Chenlei Pang ◽  
...  
Keyword(s):  
Super Resolution ◽  
Wide Field ◽  
Label Free ◽  
Super Resolution Microscopy

scholarly journals Autofocusing Algorithm for Pixel-Super-Resolved Lensfree On-Chip Microscopy

2021 ◽  
Vol 9 ◽  
Author(s):  
Yumin Wu ◽  
Linpeng Lu ◽  
Jialin Zhang ◽  
Zhuoshi Li ◽  
Chao Zuo
Keyword(s):  
Focal Plane ◽  
Super Resolution ◽  
Propagation Distance ◽  
Low Noise ◽  
Wide Field ◽  
Low Resolution ◽  
Image Sharpness ◽  
Critical Function ◽  
Microscopy Technique ◽  
On Chip

In recent years, lensfree on-chip microscopy has developed into a promising and powerful computational optical microscopy technique that allows for wide-field, high-throughput microscopic imaging without using any lenses. However, due to the limited pixel size of the state-of-the-art image sensors, lens-free on-chip microscopy generally suffers from low imaging resolution, which is far from enough to meet the current demand for high-resolution microscopy. Many pixel super-resolution techniques have been developed to solve or at least partially solve this problem by acquiring a series of low-resolution holograms with multiple lateral sub-pixel shifting or axial distances. However, the prerequisite of these pixel super-resolution techniques is that the propagation distance of each low-resolution hologram can be obtained precisely, which faces two major challenges. On the one hand, the captured hologram is inherent pixelated and of low resolution, making it difficult to determine the focal plane by evaluating the image sharpness accurately. On the other hand, the twin-image is superimposed on the backpropagated raw hologram, further exacerbating the difficulties in accurate focal plane determination. In this study, we proposed a high-precision autofocusing algorithm for multi-height pixel-super-resolved lensfree on-chip microscopy. Our approach consists of two major steps: individual preliminary estimation and global precise estimation. First, an improved critical function that combines differential critical function and frequency domain critical function is proposed to obtain the preliminary focus distances of different holograms. Then, the precise focus distances can be determined by further evaluating the global offset of the averaged, low-noise reconstruction from all backpropagated holograms with preliminary focus distances. Simulations and experimental results verified the validity and effectiveness of the proposed algorithm.

Single-Molecule Localization Super-Resolution Microscopy: Deeper and Faster

2012 ◽  
Vol 18 (6) ◽  
pp. 1419-1429 ◽  
Author(s):  
Sébastien Herbert ◽  
Helena Soares ◽  
Christophe Zimmer ◽  
Ricardo Henriques
Keyword(s):  
Single Molecule ◽  
Imaging Techniques ◽  
Super Resolution ◽  
Fluorescence Labeling ◽  
High Temporal Resolution ◽  
Wide Field ◽  
Resolution Limit ◽  
Localization Microscopy ◽  
Recent Developments ◽  
Potential Applications

AbstractFor over a decade fluorescence microscopy has demonstrated the capacity to achieve single-molecule localization accuracies of a few nanometers, well below the ∼200 nm lateral and ∼500 nm axial resolution limit of conventional microscopy. Yet, only the recent development of new fluorescence labeling modalities, the increase in sensitivity of imaging hardware, and the creation of novel image analysis tools allow for the emergence of single-molecule-based super-resolution imaging techniques. Novel methods such as photoactivated localization microscopy and stochastic optical reconstruction microscopy can typically reach a tenfold increase in resolution compared to standard microscopy methods. Their implementation is relatively easy only requiring minimal changes to a conventional wide-field or total internal reflection fluorescence microscope. The recent translation of these two methods into commercial imaging systems has made them further accessible to researchers in biology. However, these methods are still evolving rapidly toward imaging live samples with high temporal resolution and depth. In this review, we recall the roots of single-molecule localization microscopy, summarize major recent developments, and offer perspective on potential applications.

scholarly journals Novel approach for label free super-resolution imaging in far field

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Sergey A. Alexandrov ◽  
James McGrath ◽  
Hrebesh Subhash ◽  
Francesca Boccafoschi ◽  
Cinzia Giannini ◽  
...  
Keyword(s):  
Super Resolution ◽  
Far Field ◽  
Label Free ◽  
Novel Approach ◽  
Resolution Imaging

scholarly journals Wide field of view 3D label-free super-resolution imaging

2018 ◽  
Author(s):  
Göran Maconi ◽  
Ivo Laidmäe ◽  
Ivan Kassamakov ◽  
Anton Nolvi ◽  
Jyrki Heinämäki ◽  
...  
Keyword(s):  
Super Resolution ◽  
Field Of View ◽  
Wide Field ◽  
Label Free ◽  
Wide Field Of View ◽  
Resolution Imaging

A microfluidic device with integrated impedance detection for λ-DNA

2003 ◽  
Vol 773 ◽  
Author(s):  
Myung-Il Park ◽  
Jonging Hong ◽  
Dae Sung Yoon ◽  
Chong-Ook Park ◽  
Geunbae Im
Keyword(s):  
Microfluidic Device ◽  
Electrochemical Impedance ◽  
Direct Detection ◽  
Full Potential ◽  
Label Free ◽  
Buffer Solution ◽  
Detection Systems ◽  
Significant Difference ◽  
Detection Of Biomolecules ◽  
Impedance Magnitude

AbstractThe large optical detection systems that are typically utilized at present may not be able to reach their full potential as portable analysis tools. Accurate, early, and fast diagnosis for many diseases requires the direct detection of biomolecules such as DNA, proteins, and cells. In this research, a glass microchip with integrated microelectrodes has been fabricated, and the performance of electrochemical impedance detection was investigated for the biomolecules. We have used label-free λ-DNA as a sample biomolecule. By changing the distance between microelectrodes, the significant difference between DW and the TE buffer solution is obtained from the impedance-frequency measurements. In addition, the comparison for the impedance magnitude of DW, the TE buffer, and λ-DNA at the same distance was analyzed.

scholarly journals Comparing Super-Resolution Microscopy Techniques to Analyze Chromosomes

2021 ◽  
Vol 22 (4) ◽  
pp. 1903
Author(s):  
Ivona Kubalová ◽  
Alžběta Němečková ◽  
Klaus Weisshart ◽  
Eva Hřibová ◽  
Veit Schubert
Keyword(s):  
Single Molecule ◽  
Imaging Techniques ◽  
Chromatin Condensation ◽  
Super Resolution ◽  
Stimulated Emission ◽  
Wide Field ◽  
Structured Illumination Microscopy ◽  
Metaphase Chromosomes ◽  
Localization Microscopy ◽  
Super Resolution Microscopy

The importance of fluorescence light microscopy for understanding cellular and sub-cellular structures and functions is undeniable. However, the resolution is limited by light diffraction (~200–250 nm laterally, ~500–700 nm axially). Meanwhile, super-resolution microscopy, such as structured illumination microscopy (SIM), is being applied more and more to overcome this restriction. Instead, super-resolution by stimulated emission depletion (STED) microscopy achieving a resolution of ~50 nm laterally and ~130 nm axially has not yet frequently been applied in plant cell research due to the required specific sample preparation and stable dye staining. Single-molecule localization microscopy (SMLM) including photoactivated localization microscopy (PALM) has not yet been widely used, although this nanoscopic technique allows even the detection of single molecules. In this study, we compared protein imaging within metaphase chromosomes of barley via conventional wide-field and confocal microscopy, and the sub-diffraction methods SIM, STED, and SMLM. The chromosomes were labeled by DAPI (4′,6-diamidino-2-phenylindol), a DNA-specific dye, and with antibodies against topoisomerase IIα (Topo II), a protein important for correct chromatin condensation. Compared to the diffraction-limited methods, the combination of the three different super-resolution imaging techniques delivered tremendous additional insights into the plant chromosome architecture through the achieved increased resolution.

scholarly journals Camera-based localization microscopy optimized with calibrated structured illumination

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Martin Schmidt ◽  
Adam C. Hundahl ◽  
Henrik Flyvbjerg ◽  
Rodolphe Marie ◽  
Kim I. Mortensen
Keyword(s):  
Data Analysis ◽  
Super Resolution ◽  
Wide Field ◽  
Structured Illumination ◽  
Uniform Illumination ◽  
Localization Microscopy ◽  
Localization And Tracking ◽  
Field Imaging ◽  
Wide Field Imaging ◽  
Localization Information

AbstractUntil very recently, super-resolution localization and tracking of fluorescent particles used camera-based wide-field imaging with uniform illumination. Then it was demonstrated that structured illuminations encode additional localization information in images. The first demonstration of this uses scanning and hence suffers from limited throughput. This limitation was mitigated by fusing camera-based localization with wide-field structured illumination. Current implementations, however, use effectively only half the localization information that they encode in images. Here we demonstrate how all of this information may be exploited by careful calibration of the structured illumination. Our approach achieves maximal resolution for given structured illumination, has a simple data analysis, and applies to any structured illumination in principle. We demonstrate this with an only slightly modified wide-field microscope. Our protocol should boost the emerging field of high-precision localization with structured illumination.

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