Tissue samples for analysis were archival samples obtained from a previous animal study. The animal study from which tissue samples were obtained was approved by the Animal Ethics Committee of The University of Western Australia (RA3/100/951) in accordance with the National Health and Medical Research Council's Australian Code of Practice for the Care and Use of Animals for Scientific Purposes. Briefly, rat skin tissue samples were fixed in 4% paraformaldehyde for 24 hours at 4 °C and paraffin embedded. Three 5 μm sections were cut using a microtome and the collagen was stained using picrosirus red. Slides were imaged using an Olympus IX81 inverted microscope (Olympus, Tokyo, Japan) at the Centre for Microscopy, Characterisation and Analysis (CMCA), UWA. The brightfield lamp was set to 8 V and polarizing filters arranged to give a dark background. Linear polarised light enhanced the birefringence of dermal collagen, causing collagen fibre appearance to range from green to red depending on fibre size. Small fibres appeared green, small intermediate fibres appeared yellow, larger intermediate fibres appeared orange and large fibres appeared red. As these images were then used for collagen coherency analysis the section orientation (relative to the polarising angle) was totally random, and sufficient sections were assessed to reduce issues associated with a lack of sensitivity to fibres oriented in the same direction as the polarized light. Images of 1200 × 1600 pixels were captured using a Nikon DS-2Mv camera (Nikon, Tokyo, Japan) at 20× magnification, 333 ms exposure time using NIS Elements software (Nikon, Tokyo, Japan). The rat tendon images were prepared and imaged as previously described by Couppe et al.27 (link)
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Phenomena
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Natural Phenomenon or Process
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Birefringence
Birefringence
Birefringence is an optical phenomenon in which a material exhibits two different refractive indexes for light, depending on the polarization and direction of the light.
This property is often observed in crystalline materials and anisotropic tissues, and is useful for various applications in material science, biology, and medicine.
Birefringence analysis can provide insights into the structural properties and orientation of materials, but the reproducilbity of these analyses can be challenging.
PubCompare.ai's AI-powered research protocol optimization can enhance the reproducibility of birefringence analysis by helping researchers identify the most effective methods and products from the literature, preprints, and patents, using advanced comparisons to inform their research approach.
This property is often observed in crystalline materials and anisotropic tissues, and is useful for various applications in material science, biology, and medicine.
Birefringence analysis can provide insights into the structural properties and orientation of materials, but the reproducilbity of these analyses can be challenging.
PubCompare.ai's AI-powered research protocol optimization can enhance the reproducibility of birefringence analysis by helping researchers identify the most effective methods and products from the literature, preprints, and patents, using advanced comparisons to inform their research approach.
Most cited protocols related to «Birefringence»
Animal Ethics Committees
Animals
Birefringence
Collagen
Fibrosis
Hypersensitivity
Light
Microscopy
Microtomy
Paraffin
paraform
Tendons
Tissues
Artery, Coronary
Biopharmaceuticals
Birefringence
Blood Vessel
Catheters
Epistropheus
Eye
Fibrosis
Optical Rotation
Plant Roots
Reading Frames
Tissues
Transmission, Communicable Disease
Images of normal prostate and glandular BPH from the TMA stained with Masson's trichrome were acquired with a 20x objective lens (N.A. = 0.50, Nikon Instruments, Melville, NY) on an 80i microscope (Nikon) using the DS-Fi2 camera (Nikon) with NIS Elements (Nikon). Blue coloration, indicative of ECM, was separated for all cores by manual thresholding of hue (121-179), saturation (20-255), and brightness (10-255) values in ImageJ [15] (link), and ECM content was quantified as mean blue intensity per tissue area. ECM content was compared between normal prostate and BPH using a two-tailed Student's t-test.
Images of Picrosirius red staining were acquired for each TMA core of interest using a 20x objective lens (N.A. = 0.50, Nikon) on the DS-Fi2 camera (Nikon) in NIS Elements (Nikon) using the Nikon DS-U3 controller (Nikon). For full slide TURP specimens, three representative acinar lobules were identified and imaged for each patient using the 10x objective lens (N.A. = 0.45, Nikon), and triplicate averages were used for analysis. Images were acquired using both brightfield microscopy and a circular polarizer filter, as birefringence under polarized light is highly specific for collagen [13] , [14] (link).
Quantification of polarized light images was conducted similar to previously established protocols [13] (Figure S2 ). Background coloration was removed using ImageJ [15] (link) and the Colour Corrector plugin. ImageJ macros for the quantification of individual colors of birefringence were developed using the following hue (H), saturation (S), and brightness (B) ranges: red (H 1-13, S 10-255, B 20-255), orange (H 14-25, S 10-255, B 20-255), yellow (H 26-52, S 10-255, B 20-255), and green (H 53-110, S 10-255, B 20-255), a slight modification of hue range values from previously described methods [13] . Total collagen content was defined as the proportion of positive pixels within the birefringent bin ranges compared to total pixels in the region of interest (ROI) for each image. ROI sizes were manually calculated using Photoshop CS6 (Adobe Systems, San Jose, CA) by subtracting empty and glandular space from the total amount of pixels in each image. Proportion of colors within birefringent tissue was normalized and compared between groups. Student's t-test was used for statistical analysis using Graphpad Prism (Graphpad Software, San Diego, CA), with a two-sided p-value of <0.05 being considered significant in all analyses.
Images of Picrosirius red staining were acquired for each TMA core of interest using a 20x objective lens (N.A. = 0.50, Nikon) on the DS-Fi2 camera (Nikon) in NIS Elements (Nikon) using the Nikon DS-U3 controller (Nikon). For full slide TURP specimens, three representative acinar lobules were identified and imaged for each patient using the 10x objective lens (N.A. = 0.45, Nikon), and triplicate averages were used for analysis. Images were acquired using both brightfield microscopy and a circular polarizer filter, as birefringence under polarized light is highly specific for collagen [13] , [14] (link).
Quantification of polarized light images was conducted similar to previously established protocols [13] (
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Birefringence
Collagen
Lens, Crystalline
Light
Microscopy
Patients
prisma
Prostate
Tissues
Transurethral Resection of Prostate
Setting up an in meso crystallization trial is straightforward (Fig. 4 ▶ ). Typically, it involves combining two parts protein solution with three parts lipid at 20°C (Caffrey & Cherezov, 2009 ▶ ; Caffrey & Porter, 2010 ▶ ). The most commonly used lipid is the monoacylglycerol (MAG) monoolein. According to the monoolein–water temperature–composition phase diagram (Fig. 5 ▶ ; Qiu & Caffrey, 2000 ▶ ), and assuming there is no major influence on the phase behaviour of the protein-solution components, this mixing process should generate, by spontaneous self-assembly, the cubic mesophase at or close to full hydration. The original method for mixing lipid and protein solution involved multiple, cumbersome centrifugations in small glass tubes. Harvesting crystals required cutting the tubes and searching for small crystals through curved glass, which was not easy, very inefficient and required experience, time and patience.
The cubic phase is sticky and viscous in the manner of thick toothpaste (Fig. 6 ▶ ). As such, it is not easy to handle. In the course of earlier lipid-phase science work carried out in the Membrane Structural and Functional Biology (MS&FB) group, we had developed tools and procedures for manipulating such refractory materials. One of these, the coupled-syringe mixing device (Fig. 4 ▶ ; Cheng et al., 1998 ▶ ), was ideally suited to the task of combining microlitre volumes of monoolein with membrane-protein solution in a way that produces protein-laden mesophase for direct use in crystallization trials with minimal waste. The mixer consists of two, positive-displacement Hamilton micro-syringes connected by a narrow-bore coupler. Lipid is placed in one syringe and protein solution in the other. Mixing is achieved by repeatedly moving the contents of the two syringes back and forth through the coupler (Caffrey & Porter, 2010 ▶ ). The coupler is replaced by a needle for convenient dispensing of the homogenous mesophase into wells of custom-designed, glass sandwich crystallization plates (Cherezov & Caffrey, 2003 ▶ ; Cherezov et al., 2004 ▶ ). Precipitant solutions of varying compositions are placed over the mesophase and the wells are sealed with a cover glass. For initial screening, the plates are incubated at 20°C and monitored for crystal growth. The optical quality is the best it can be given that the mesophase is held between two glass plates and the mesophase itself is transparent (Fig. 7 ▶ ). This means that crystals of just a few micrometres in size can readily be seen by microscope whether the proteins are coloured or not. The use of cross-polarizers can enhance the visibility of small crystals, which usually appear birefringent on a dark background; the cubic phase itself is optically isotropic and non-birefringent. An added feature of the glass sandwich plates is that the double-sided tape used to create the wells provides almost hermetic sealing, ensuring minimal change in well composition during the course of trials that can last for months. Step-by-step instructions, complete with an open-access online video demonstration of the entire in meso crystallization process, have been published (Caffrey & Cherezov, 2009 ▶ ; Caffrey & Porter, 2010 ▶ ; Li, Boland, Aragão et al., 2012 ▶ ; Li, Boland, Walsh et al., 2012 ▶ ).
The cubic phase is sticky and viscous in the manner of thick toothpaste (Fig. 6
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ARID1A protein, human
Birefringence
Centrifugation
Crystal Growth
Crystallization
Cuboid Bone
Hermetic
Homozygote
Lipids
Membrane Proteins
Microscopy
Monoglycerides
monoolein
Needles
Proteins
Syringes
Tissue, Membrane
Toothpaste
Viscosity
Vision
The local collagen orientation was determined from images captured using PLM following protocols previously reported.20 (link) Briefly, a white light source and two polarizing filters were used (Hoya, Tokyo, Japan). The birefringence of the collagen fibers causes the intensity of the detected light to vary depending on the relative orientation of the fiber and the direction of polarization of the light (Fig. 1 ). Thus, local collagen orientation at each pixel can be determined from multiple images captured with different relative orientations.20 (link)
Birefringence
Collagen
Fibrosis
Light
Mental Orientation
Most recents protocols related to «Birefringence»
Histological studies were performed on carotid arteries fixed with 10% buffered formalin under pressure (100 mmHg) in vivo for 2 h. Fixed specimens were embedded in paraffin following regular procedures. Five micrometre sections were stained with Sirius Red and Picrosirius Red (PSR) for collagen. PSR sections were imaged under cross-polarized light (darkfield) to observe collagen birefringence. Images were acquired on an Olympus BX/51 microscope using an Olympus DP70 digital camera (cellSens Dimension) under a × 40 magnification objective. The area fraction of collagen was based on total fibrillar collagen. A custom MATLAB script was used to extract layer-specific (media or adventitia) wall percentages as well as the proportions of thick (red) and thin (orange–yellow–green) birefringent collagen fibres.16 (link),17 (link)For integrin αv subunit immunostaining, rabbit polyclonal antibodies against integrin αv subunit, biotinylated goat anti-rabbit immunoglobulins, HRP-conjugated streptavidin, and 3,3′-diaminobenzidine (DAB) substrate (see Supplementary material online , Tables S7 and S8 ) were used. Composition of the arterial wall and the media cross-sectional area (MCSA) were determined using a Nikon NIS-Elements Basic Research microscope imaging software as described previously.18 (link)Immunofluorescence staining on 8 µm cryo-sections fixed with 4% paraformaldehyde or cooled acetone for 5 min was performed with specific antibodies as described previously.14 (link) Briefly, sections were incubated with primary antibodies at 4°C overnight after permeabilization with 0.2% Triton X100 for 10 min and blocking with 5% bovine serum albumin (BSA) for 1 h. After washing in PBS-Tween 20, sections were incubated with fluorescent-conjugated secondary antibodies. A complete list of antibodies is provided in Supplementary material online , Table S8 . Image acquisition was on a Leica TCS SP5 confocal microscope (Leica, Wetzlar, Germany) with the same depth of field and with identical settings for laser, gain, and offset intensity.
Acetone
Adventitia
Antibodies
Antibodies, Anti-Idiotypic
Arteries
Birefringence
Carotid Arteries
Collagen
Fibrillar Collagen
Fibrosis
Fingers
Fluorescent Antibody Technique
Formalin
Goat
Integrin alphaV
Light
Microscopy
Microscopy, Confocal
Paraffin Embedding
paraform
Pressure
Protein Subunits
Rabbits
Serum Albumin, Bovine
Streptavidin
Triton X-100
Tween 20
To realize the coherent phonons and optical birefringence manipulation in the LRO/STO structure, time‐resolved optical reflectivity (TR‐ΔR) measurement with two pump pulses was performed. The LRO/STO (110) sample was kept at room temperature. The light source was a Ti:sapphire pulse laser with a wavelength of 800 nm, a repetition rate of 1 kHz, and a pulse duration of 100 fs. A beam splitter was used to divide the laser output into two parts. After converting the pump pulse wavelength to 400 nm with a BBO by second harmonic generation (SHG) process, the pump beam was further divided into two optical beams by another beam splitter. To control the time delay between the pump pulses of the two beams (Δt), a delay stage (DS2) was placed in the one of pump beams. A positive sign of Δt means that the pump pulse of the beam that passed through DS2 (the “second” pump pulse) arrived later at the sample surface than the pump pulse of the other beam (the “first” pump pulse). The relative delay (t) between the first pump pulse and the probe pulse is scanned by the DS1 delay stage. The incident angle of the probe beam is ≈45o with respect to the normal direction of the sample plane, while the pump was ≈35° to the surface normal. The beam sizes are the same as the single pump experiment as mentioned above. Both pump 1 and pump 2 fluences are 9.6 mJ cm−2. The experimental configuration of the signal detection part is consistent with that of the time‐resolved light reflectivity and optical birefringence effect experiment.
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Birefringence
Light
Pulse Rate
Pulses
Sapphire
Signal Detection (Psychology)
Vision
To track the dynamics of the coherent phonons, time‐resolved optical reflectivity and optical birefringence effect measurements were performed. The samples were placed in a cryostat (Oxford, 7 T SpectromagPT), which can provide a temperature environment of 1.5–300 K. The measurement setup is based on a regenerative amplified Ti:sapphire laser (Solstice Ace, Spectra‐Physics) producing 100 fs pulses at 800 nm wavelength, and 1 kHz repetition rate. The laser pulses were divided into the pump and probe beams by a 7:3 beam splitter. By adding a nonlinear beta‐barium borate (BBO) crystal in the optical path, the wavelength of the pump and probe beams can be switched between 800 and 400 nm. The incident angle of the probe beam varied from ≈5° to 50° with respect to the normal direction of the sample plane while the pump was at 55° versus the surface normal. The beams were loosely focused onto the sample surface with a spot diameter of 200 µm by focusing lenses for the pump and probe. The incident pump fluence varied from 1.59 to 19.08 mJ cm−2 at a fixed probe fluence of 1.4 mJ cm−2. The time delay between the pump and probe pulses was controlled by a long‐range motorized linear delay stage, which can provide a maximum delay of 4 ns. The pump beam was chopped at a rate of 635 Hz to measure the relative changes in the reflectance between the pump perturbed (R0 + ΔR) and unperturbed (R0) samples. A low‐noise photodetector (New Focus, Model 2007) and a lock‐in amplifier (Zurich Instruments, MFLI 500 kHz) are used to improve the signal‐to‐noise ratio. To track the transient optical birefringence effect ΔθR, the reflected light from the sample was first filtered to remove the pump, passed through a half‐wave plate and a Wollaston prism, and then detected by a pair of balanced photodiodes. The pump‐induced change in the rotation of the polarization angle was determined as the ratio of the intensity imbalance/the sum intensity of each photodiode obtained from a lock‐in amplifier locked at the pump modulation frequency.
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A 300
Barium
Birefringence
Borates
Light
prisma
Pulses
Regeneration
Sapphire
Transients
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Birefringence
Dental Enamel
To establish the phase behavior and detect colloidal aggregates (>1 µm), VELM imaging of the samples was performed with an Olympus BX51 (Tokyo, Japan) microscope using bright-field illumination with differential interference contrast (DIC). The images were acquired with an Olympus DP71 digital video camera and the micrographs were processed with the Olympus CellA software provided by the manufacturer. The microscope was also used in polarized light mode to capture any birefringent structures (e.g., Maltese crosses, indicative of large multilamellar vesicles).
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Birefringence
Fingers
Light
Microscopy
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More about "Birefringence"
Birefringence, also known as double refraction, is an optical phenomenon where a material exhibits two different refractive indices for light, depending on the polarization and direction of the light.
This property is commonly observed in crystalline materials and anisotropic tissues, and is widely used in various applications in material science, biology, and medicine.
Birefringence analysis can provide valuable insights into the structural properties and orientation of materials, but ensuring the reproducibility of these analyses can be challenging.
PubCompare.ai's AI-powered research protocol optimization can enhance the reproducibility of birefringence analysis by helping researchers identify the most effective methods and products from the literature, preprints, and patents.
Using advanced AI-driven comparisons, PubCompare.ai can inform researchers' approaches and help them select the optimal techniques and equipment, such as AxioVision 4.8, Direct Red 80, Image-Pro Plus 6.0, MATLAB, AxioCam, DM IRBE, BX51 microscope, Eclipse 80i, Axioplan microscope, and BX41 microscope.
By leveraging PubCompare.ai's innovative solutions, researchers can effortlessly enhance the reproducibility of their birefringence analysis, leading to more reliable and impactful research outcomes.
Whether you're working with polarized light microscopy, x-ray crystallography, or other birefringence-based techniques, PubCompare.ai can help you streamline your research and unlock new insights.
This property is commonly observed in crystalline materials and anisotropic tissues, and is widely used in various applications in material science, biology, and medicine.
Birefringence analysis can provide valuable insights into the structural properties and orientation of materials, but ensuring the reproducibility of these analyses can be challenging.
PubCompare.ai's AI-powered research protocol optimization can enhance the reproducibility of birefringence analysis by helping researchers identify the most effective methods and products from the literature, preprints, and patents.
Using advanced AI-driven comparisons, PubCompare.ai can inform researchers' approaches and help them select the optimal techniques and equipment, such as AxioVision 4.8, Direct Red 80, Image-Pro Plus 6.0, MATLAB, AxioCam, DM IRBE, BX51 microscope, Eclipse 80i, Axioplan microscope, and BX41 microscope.
By leveraging PubCompare.ai's innovative solutions, researchers can effortlessly enhance the reproducibility of their birefringence analysis, leading to more reliable and impactful research outcomes.
Whether you're working with polarized light microscopy, x-ray crystallography, or other birefringence-based techniques, PubCompare.ai can help you streamline your research and unlock new insights.