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Ortkrass H, Wiebusch G, Linnenbrügger J, Schürstedt J, Szafranska K, McCourt P, Huser T. Grazing incidence to total internal reflection fluorescence structured illumination microscopy enabled by a prism telescope. OPTICS EXPRESS 2023; 31:40210-40220. [PMID: 38041327 DOI: 10.1364/oe.504292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 10/02/2023] [Indexed: 12/03/2023]
Abstract
In super-resolution structured illumination microscopy (SR-SIM) the separation between opposing laser spots in the back focal plane of the objective lens affects the pattern periodicity, and, thus, the resulting spatial resolution. Here, we introduce a novel hexagonal prism telescope which allows us to seamlessly change the separation between parallel laser beams for 3 pairs of beams, simultaneously. Each end of the prism telescope is composed of 6 Littrow prisms, which are custom-ground so they can be grouped together in the form of a tight hexagon. By changing the distance between the hexagons, the beam separation can be adjusted. This allows us to easily control the position of opposing laser spots in the back focal plane and seamlessly adjust the spatial frequency of the resulting interference pattern. This also enables the seamless transition from 2D-SIM to total internal reflection fluorescence (TIRF) excitation using objective lenses with a high numerical aperture. In linear SR-SIM the highest spatial resolution can be achieved for extreme TIRF angles. The prism telescope allows us to investigate how the spatial resolution and contrast depend on the angle of incidence near, at, and beyond the critical angle. We demonstrate this by imaging the cytoskeleton and plasma membrane of liver sinusoidal endothelial cells, which have a characteristic morphology consisting of thousands of small, transcellular pores that can only be observed by super-resolution microscopy.
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Ortkrass H, Schürstedt J, Wiebusch G, Szafranska K, McCourt P, Huser T. High-speed TIRF and 2D super-resolution structured illumination microscopy with a large field of view based on fiber optic components. OPTICS EXPRESS 2023; 31:29156-29165. [PMID: 37710721 DOI: 10.1364/oe.495353] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 07/07/2023] [Indexed: 09/16/2023]
Abstract
Super-resolved structured illumination microscopy (SR-SIM) is among the most flexible, fast, and least perturbing fluorescence microscopy techniques capable of surpassing the optical diffraction limit. Current custom-built instruments are easily able to deliver two-fold resolution enhancement at video-rate frame rates, but the cost of the instruments is still relatively high, and the physical size of the instruments based on the implementation of their optics is still rather large. Here, we present our latest results towards realizing a new generation of compact, cost-efficient, and high-speed SR-SIM instruments. Tight integration of the fiber-based structured illumination microscope capable of multi-color 2D- and TIRF-SIM imaging, allows us to demonstrate SR-SIM with a field of view of up to 150 × 150 µm2 and imaging rates of up to 44 Hz while maintaining highest spatiotemporal resolution of less than 100 nm. We discuss the overall integration of optics, electronics, and software that allowed us to achieve this, and then present the fiberSIM imaging capabilities by visualizing the intracellular structure of rat liver sinusoidal endothelial cells, in particular by resolving the structure of their trans-cellular nanopores called fenestrations.
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Mao H, Szafranska K, Kruse L, Holte C, Wolfson DL, Ahluwalia BS, Whitchurch CB, Cole L, Lockwood GP, Diekmann R, Le Couteur D, Cogger VC, McCourt PAG. Effect of caffeine and other xanthines on liver sinusoidal endothelial cell ultrastructure. Sci Rep 2023; 13:13390. [PMID: 37591901 PMCID: PMC10435486 DOI: 10.1038/s41598-023-40227-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 08/07/2023] [Indexed: 08/19/2023] Open
Abstract
Xanthines such as caffeine and theobromine are among the most consumed psychoactive stimulants in the world, either as natural components of coffee, tea and chocolate, or as added ingredients. The present study assessed if xanthines affect liver sinusoidal endothelial cells (LSEC). Cultured primary rat LSEC were challenged with xanthines at concentrations typically obtained from normal consumption of xanthine-containing beverages, food or medicines; and at higher concentrations below the in vitro toxic limit. The fenestrated morphology of LSEC were examined with scanning electron and structured illumination microscopy. All xanthine challenges had no toxic effects on LSEC ultrastructure as judged by LSEC fenestration morphology, or function as determined by endocytosis studies. All xanthines in high concentrations (150 μg/mL) increased fenestration frequency but at physiologically relevant concentrations, only theobromine (8 μg/mL) showed an effect. LSEC porosity was influenced only by high caffeine doses which also shifted the fenestration distribution towards smaller pores. Moreover, a dose-dependent increase in fenestration number was observed after caffeine treatment. If these compounds induce similar changes in vivo, age-related reduction of LSEC porosity can be reversed by oral treatment with theobromine or with other xanthines using targeted delivery.
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Affiliation(s)
- Hong Mao
- Vascular Biology Research Group, Department of Medical Biology, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, 9037, Tromsø, Norway.
- Optical Nanoscopy Research Group, Department of Physics and Technology, Faculty of Science and Technology, University of Tromsø, The Arctic University of Norway, Tromsø, Norway.
| | - Karolina Szafranska
- Vascular Biology Research Group, Department of Medical Biology, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, 9037, Tromsø, Norway.
| | - Larissa Kruse
- Vascular Biology Research Group, Department of Medical Biology, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, 9037, Tromsø, Norway
| | - Christopher Holte
- Vascular Biology Research Group, Department of Medical Biology, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, 9037, Tromsø, Norway
| | - Deanna L Wolfson
- Optical Nanoscopy Research Group, Department of Physics and Technology, Faculty of Science and Technology, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Balpreet Singh Ahluwalia
- Optical Nanoscopy Research Group, Department of Physics and Technology, Faculty of Science and Technology, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Cynthia B Whitchurch
- Microbial Imaging Facility, The ithree Institute, University of Technology Sydney, Ultimo, NSW, Australia
| | - Louise Cole
- Microbial Imaging Facility, The ithree Institute, University of Technology Sydney, Ultimo, NSW, Australia
| | - Glen P Lockwood
- Centre for Education and Research, ANZAC Research Institute, Concord Repatriation General Hospital, Concord, NSW, Australia
- The Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Robin Diekmann
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
- LaVision BioTec GmbH, Bielefeld, Germany
| | - David Le Couteur
- Centre for Education and Research, ANZAC Research Institute, Concord Repatriation General Hospital, Concord, NSW, Australia
- The Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Victoria C Cogger
- Centre for Education and Research, ANZAC Research Institute, Concord Repatriation General Hospital, Concord, NSW, Australia
- The Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Peter A G McCourt
- Vascular Biology Research Group, Department of Medical Biology, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, 9037, Tromsø, Norway
- Centre for Education and Research, ANZAC Research Institute, Concord Repatriation General Hospital, Concord, NSW, Australia
- The Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
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Ströhl F, Wolfson DL, Opstad IS, Hansen DH, Mao H, Ahluwalia BS. Label-free superior contrast with c-band ultra-violet extinction microscopy. LIGHT, SCIENCE & APPLICATIONS 2023; 12:56. [PMID: 36864022 PMCID: PMC9981877 DOI: 10.1038/s41377-023-01105-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 02/14/2023] [Accepted: 02/14/2023] [Indexed: 06/18/2023]
Abstract
In 1934, Frits Zernike demonstrated that it is possible to exploit the sample's refractive index to obtain superior contrast images of biological cells. The refractive index contrast of a cell surrounded by media yields a change in the phase and intensity of the transmitted light wave. This change can be due to either scattering or absorption caused by the sample. Most cells are transparent at visible wavelengths, which means the imaginary component of their complex refractive index, also known as extinction coefficient k, is close to zero. Here, we explore the use of c-band ultra-violet (UVC) light for high-contrast high-resolution label-free microscopy, as k is naturally substantially higher in the UVC than at visible wavelengths. Using differential phase contrast illumination and associated processing, we achieve a 7- to 300-fold improvement in contrast compared to visible-wavelength and UVA differential interference contrast microscopy or holotomography, and quantify the extinction coefficient distribution within liver sinusoidal endothelial cells. With a resolution down to 215 nm, we are, for the first time in a far-field label-free method, able to image individual fenestrations within their sieve plates which normally requires electron or fluorescence superresolution microscopy. UVC illumination also matches the excitation peak of intrinsically fluorescent proteins and amino acids and thus allows us to utilize autofluorescence as an independent imaging modality on the same setup.
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Affiliation(s)
- Florian Ströhl
- Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway.
| | - Deanna L Wolfson
- Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Ida S Opstad
- Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Daniel H Hansen
- Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Hong Mao
- Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Balpreet S Ahluwalia
- Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Clinical Science, Intervention and Technology, Karolinska Institute, Stockholm, Sweden
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Szafranska K, Holte CF, Kruse LD, Mao H, Øie CI, Szymonski M, Zapotoczny B, McCourt PAG. Quantitative analysis methods for studying fenestrations in liver sinusoidal endothelial cells. A comparative study. Micron 2021; 150:103121. [PMID: 34560521 DOI: 10.1016/j.micron.2021.103121] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 07/01/2021] [Accepted: 07/14/2021] [Indexed: 12/26/2022]
Abstract
Liver Sinusoidal Endothelial Cells (LSEC) line the hepatic vasculature providing blood filtration via transmembrane nanopores called fenestrations. These structures are 50-300 nm in diameter, which is below the resolution limit of a conventional light microscopy. To date, there is no standardized method of fenestration image analysis. With this study, we provide and compare three different approaches: manual measurements, a semi-automatic (threshold-based) method, and an automatic method based on user-friendly open source machine learning software. Images were obtained using three super resolution techniques - atomic force microscopy (AFM), scanning electron microscopy (SEM), and structured illumination microscopy (SIM). Parameters describing fenestrations such as diameter, area, roundness, frequency, and porosity were measured. Finally, we studied the user bias by comparison of the data obtained by five different users applying provided analysis methods.
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Affiliation(s)
- K Szafranska
- Department of Medical Biology, Vascular Biology Research Group, University of Tromsø (UiT), The Arctic University of Norway, Norway; Centre for Nanometer-Scale Science and Advanced Materials, NANOSAM, Faculty of Physics, Astronomy, and Applied Computer Science, Jagiellonian University, Krakow, Poland.
| | - C F Holte
- Department of Medical Biology, Vascular Biology Research Group, University of Tromsø (UiT), The Arctic University of Norway, Norway
| | - L D Kruse
- Department of Medical Biology, Vascular Biology Research Group, University of Tromsø (UiT), The Arctic University of Norway, Norway
| | - H Mao
- Department of Medical Biology, Vascular Biology Research Group, University of Tromsø (UiT), The Arctic University of Norway, Norway
| | - C I Øie
- Department of Medical Biology, Vascular Biology Research Group, University of Tromsø (UiT), The Arctic University of Norway, Norway
| | - M Szymonski
- Centre for Nanometer-Scale Science and Advanced Materials, NANOSAM, Faculty of Physics, Astronomy, and Applied Computer Science, Jagiellonian University, Krakow, Poland
| | - B Zapotoczny
- Department of Medical Biology, Vascular Biology Research Group, University of Tromsø (UiT), The Arctic University of Norway, Norway; Institute of Nuclear Physics, Polish Academy of Sciences, 31-342, Krakow, Poland
| | - P A G McCourt
- Department of Medical Biology, Vascular Biology Research Group, University of Tromsø (UiT), The Arctic University of Norway, Norway
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Photonic-chip assisted correlative light and electron microscopy. Commun Biol 2020; 3:739. [PMID: 33288833 PMCID: PMC7721707 DOI: 10.1038/s42003-020-01473-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Accepted: 11/10/2020] [Indexed: 11/23/2022] Open
Abstract
Correlative light and electron microscopy (CLEM) unifies the versatility of light microscopy (LM) with the high resolution of electron microscopy (EM), allowing one to zoom into the complex organization of cells. Here, we introduce photonic chip assisted CLEM, enabling multi-modal total internal reflection fluorescence (TIRF) microscopy over large field of view and high precision localization of the target area of interest within EM. The photonic chips are used as a substrate to hold, to illuminate and to provide landmarking of the sample through specially designed grid-like numbering systems. Using this approach, we demonstrate its applicability for tracking the area of interest, imaging the three-dimensional (3D) structural organization of nano-sized morphological features on liver sinusoidal endothelial cells such as fenestrations (trans-cytoplasmic nanopores), and correlating specific endo-lysosomal compartments with its cargo protein upon endocytosis. Tinguely et al. develop a photonic chip-based correlative light-electron microscopy system to generate co-registered multi-modal total internal reflection fluorescence microscopy (TIRF) and electron microscopy (EM) images of biological samples at nanometer scale.
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Hide D, Gil M, Andrade F, Rafael D, Raurell I, Bravo M, Barberá A, Gracia-Sancho J, Vargas V, Augustin S, Genescà J, Schwartz S, Martell M. Simvastatin-loaded polymeric micelles are more effective and less toxic than conventional statins in a pre-clinical model of advanced chronic liver disease. NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE 2020; 29:102267. [PMID: 32681987 DOI: 10.1016/j.nano.2020.102267] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 06/10/2020] [Accepted: 07/04/2020] [Indexed: 01/14/2023]
Abstract
Chronic liver disease (CLD) has no effective treatments apart from reducing its complications. Simvastatin has been tested as vasoprotective drug in experimental models of CLD showing promising results, but also limiting adverse effects. Two types of Pluronic® carriers loading simvastatin (PM108-simv and PM127-simv) as a drug delivery system were developed to avoid these toxicities while increasing the therapeutic window of simvastatin. PM127-simv showed the highest rates of cell internalization in rat liver sinusoidal endothelial cells (LSECs) and significantly lower toxicity than free simvastatin, improving cell phenotype. The in vivo biodistribution was mainly hepatic with 50% of the injected PM found in the liver. Remarkably, after one week of administration in a model of CLD, PM127-simv demonstrated superior effect than free simvastatin in reducing portal hypertension. Moreover, no signs of toxicity of PM127-simv were detected. Our results indicate that simvastatin targeted delivery to LSEC is a promising therapeutic approach for CLD.
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Affiliation(s)
- Diana Hide
- Liver Unit, Department of Medicine, Hospital Universitari Vall d'Hebron, Vall d'Hebron Institut Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Instituto de Salud Carlos III, Madrid, Spain.
| | - Mar Gil
- Liver Unit, Department of Medicine, Hospital Universitari Vall d'Hebron, Vall d'Hebron Institut Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.
| | - Fernanda Andrade
- Drug Delivery and Targeting group, CIBBIM-Nanomedicine, Vall d'Hebron Institut Recerca (VHIR), Barcelona, Spain.
| | - Diana Rafael
- Drug Delivery and Targeting group, CIBBIM-Nanomedicine, Vall d'Hebron Institut Recerca (VHIR), Barcelona, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Imma Raurell
- Liver Unit, Department of Medicine, Hospital Universitari Vall d'Hebron, Vall d'Hebron Institut Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Instituto de Salud Carlos III, Madrid, Spain.
| | - Miren Bravo
- Liver Unit, Department of Medicine, Hospital Universitari Vall d'Hebron, Vall d'Hebron Institut Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Instituto de Salud Carlos III, Madrid, Spain.
| | - Aurora Barberá
- Liver Unit, Department of Medicine, Hospital Universitari Vall d'Hebron, Vall d'Hebron Institut Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.
| | - Jordi Gracia-Sancho
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Instituto de Salud Carlos III, Madrid, Spain; Liver Vascular Biology Research Group, IDIBAPS, Hospital Clínic, Barcelona, Spain..
| | - Víctor Vargas
- Liver Unit, Department of Medicine, Hospital Universitari Vall d'Hebron, Vall d'Hebron Institut Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Instituto de Salud Carlos III, Madrid, Spain.
| | - Salvador Augustin
- Liver Unit, Department of Medicine, Hospital Universitari Vall d'Hebron, Vall d'Hebron Institut Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Instituto de Salud Carlos III, Madrid, Spain.
| | - Joan Genescà
- Liver Unit, Department of Medicine, Hospital Universitari Vall d'Hebron, Vall d'Hebron Institut Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Instituto de Salud Carlos III, Madrid, Spain.
| | - Simo Schwartz
- Drug Delivery and Targeting group, CIBBIM-Nanomedicine, Vall d'Hebron Institut Recerca (VHIR), Barcelona, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Maria Martell
- Liver Unit, Department of Medicine, Hospital Universitari Vall d'Hebron, Vall d'Hebron Institut Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Instituto de Salud Carlos III, Madrid, Spain.
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