Disc specimens (Φ 15 mm × 1 mm) of each DRC were prepared and their transmittance in the wavelength range of 200–800 nm was recorded using an ultraviolet–visible–near-infrared (UV–vis–NIR) spectrophotometer (PerkinElmer Lamada 950, USA). The images of the specimens covered with the blue emblem of Shanghai Jiao Tong University were also recorded by a digital camera (Canon EOS 200D II, Japan).
Eos 200d 2
Manufactured by Canon
Sourced in Japan
The EOS 200D II is a digital single-lens reflex (DSLR) camera designed and manufactured by Canon. It features a 24.1-megapixel APS-C CMOS sensor, DIGIC 8 image processor, and supports Full HD video recording. The camera offers a compact and lightweight body, with a 3-inch vari-angle touchscreen LCD and an optical viewfinder.
Automatically generated - may contain errors
Lab products found in correlation
8 protocols using eos 200d 2
1
Optical Properties of DRC Specimens
2
Quantifying 3D Printed Scaffold Printability
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To access the printability properties, the 3D printed scaffold models were captured using a 24-megapixel (MP) camera (Canon, EOS 200D II, Tokyo, Japan). The strand printability and printing accuracy, as described in Figure 6 , were estimated from the acquired images of different scaffold models using Fiji image processing software (ImageJ, V1.5, GNU General Public License, USA).
The strand printability was defined to examine how uniformly the printed strands contrasted with the designed strand. This parameter was calculated utilising Equation (2) [67 (link)]:
The printing accuracy of each scaffold model was measured following Equation (3) [67 (link)]:
where is the initial area of the designed model, and is the overall area of the 3D printed model.
The strand printability was defined to examine how uniformly the printed strands contrasted with the designed strand. This parameter was calculated utilising Equation (2) [67 (link)]:
The printing accuracy of each scaffold model was measured following Equation (3) [67 (link)]:
where is the initial area of the designed model, and is the overall area of the 3D printed model.
3
Evaluating 3D Printed Scaffold Printability
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The scaffolds printed were captured using a 24-megapixel (MP) camera (Canon, EOS 200D II, Tokyo, Japan) immediately after crosslinking to obtain the printability properties. The images were processed using Fiji image processing software (ImageJ, V1.5, GNU General Public License, Bethesda, Rockville, MD, USA) to measure the strand printability, printing accuracy and printability factor (Pr).
Strand printability was measured to determine how uniform the printed strands were compared to the designed strand. Strand uniformity was measured using the following equation.
The accuracy of each composition scaffold was obtained by using Equation (2). The average of three samples (n = 3) was used to calculate the printing accuracy of the scaffolds.
Ai is the initial area of the scaffold and A is the overall printed area of the scaffold.
Printability factor (Pr) was used to determine whether the pores matched the designed pore sizes. The printability was determined using Equation (3). Where L is the pore perimeter and A is the pore area,
The interconnected structure would construct a perfect square shape for ideal ink printability (Pr = 1).
Strand printability was measured to determine how uniform the printed strands were compared to the designed strand. Strand uniformity was measured using the following equation.
The accuracy of each composition scaffold was obtained by using Equation (2). The average of three samples (n = 3) was used to calculate the printing accuracy of the scaffolds.
Ai is the initial area of the scaffold and A is the overall printed area of the scaffold.
Printability factor (Pr) was used to determine whether the pores matched the designed pore sizes. The printability was determined using Equation (3). Where L is the pore perimeter and A is the pore area,
The interconnected structure would construct a perfect square shape for ideal ink printability (Pr = 1).
4
Iodine-Starch Sweat Test Protocol
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TST was performed as previously described (Nolano et al., 2006 (link)). The subject’s face was covered with a 2% alcoholic solution of iodine and with rice starch powder except for eyes in a prescriptive room. The color of the rice starch powder changes to black while sweating. Digital pictures were taken using a Canon camera (EOS 200D II, Canon).
5
Sit-to-Stand Kinematic and Pressure Analysis
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According to the preliminary investigation, seat heights for STS movement experiments are usually between 400 mm and 470 mm. In this study, the experimental setup included a seat height of 415 mm, parallel vertical handrails placed in front of the subjects at shoulder-width apart, and handrail height settings that could be adjusted to low handrail (H1), middle handrail (H2), or high handrail (H3), corresponding to 110%, 120%, and 130% seated acromion height of each subject, respectively. A detachable support plate was then set at the level of the subjects’ knee joint (Fig. 1 ). We placed the high definition camera (4096 × 2160 pixel, 60fps/s; EOS 200D II, Canon) on the left side of the subjects to collect kinematic data in the sagittal plane, and used flexible film pressure sensors (MD30-60, Leanstar, Suzhou, China) to obtain plantar pressure. Film pressure sensors are a kind of resistance sensor whose output resistance decreases as the pressure applied on the sensor surface increases. The plantar pressure can be measured through a specific pressure resistance relationship to convert the electrical signal into the pressure value. Flexible film pressure sensors were placed on the subjects’ forefeet and hindfeet, and in order to ensure the accuracy of the sensors, subjects were asked to complete the STS movement barefoot.
6
Plantar Pressure and Joint Trajectory Measurement
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We used a high-definition camera (EOS 200D II, Canon) to record the joint trajectory. In the experiment, we placed the camera on the left side of the subjects and collected the video at a rate of 60 fps/s. In order to obtain plantar pressure, we used a flexible film pressure sensor (MD30-60, Leanstar, Suzhou, China) with a range of 10kg, thickness < 0.6mm, response point < 200g, response time < 1ms, and measurement diameter of 23mm. Flexible film pressure sensor is a kind of resistance sensor. The output resistance decreases with the increase of the pressure applied to the surface of the sensor. The pressure can be measured by a specific pressure-resistance relationship. In order to ensure the accuracy of the data, pressure sensors were set on the soles and heels of the subjects.
7
Inoculation of Plant Pathogens
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Plasmopara viticola was maintained on V. vinifera “Thompson Seedless” and prepared as a sporangial suspension (Xu et al., 2014 (link)). The inoculation was performed according to the reconstruction method of Liu et al. (2015) (link).
Pseudomonas syringae pv. tomato DC3000 was cultivated in King’s B (KB) liquid medium supplemented with 25 μg mL–1 rifampin at 28°C for 48 h. The bacteria were collected and resuspended in infiltration buffer containing 10 mM MgCl2 and Silwet L-77 at OD600 = 0.002. Either bacterial suspension or 10 mM MgCl2 (mock-inoculation control) was infiltrated with a 1 mL needleless syringe into the laminae of 4-week-old transgenic and wild-type plants. Inoculated plants were then covered with a transparent plastic film for 3 days and photographed (Canon EOS 200D II, Japan).
Pseudomonas syringae pv. tomato DC3000 was cultivated in King’s B (KB) liquid medium supplemented with 25 μg mL–1 rifampin at 28°C for 48 h. The bacteria were collected and resuspended in infiltration buffer containing 10 mM MgCl2 and Silwet L-77 at OD600 = 0.002. Either bacterial suspension or 10 mM MgCl2 (mock-inoculation control) was infiltrated with a 1 mL needleless syringe into the laminae of 4-week-old transgenic and wild-type plants. Inoculated plants were then covered with a transparent plastic film for 3 days and photographed (Canon EOS 200D II, Japan).
8
Quantifying 3D Printed Scaffold Printability
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To access the printability properties, the 3D printed scaffold models were captured using a 24-megapixel (MP) camera (Canon, EOS 200D II, Tokyo, Japan). The strand printability and printing accuracy, as described in Figure 6 , were estimated from the acquired images of different scaffold models using Fiji image processing software (ImageJ, V1.5, GNU General Public License, USA).
The strand printability was defined to examine how uniformly the printed strands contrasted with the designed strand. This parameter was calculated utilising Equation (2) [67 (link)]:
The printing accuracy of each scaffold model was measured following Equation (3) [67 (link)]:
where is the initial area of the designed model, and is the overall area of the 3D printed model.
The strand printability was defined to examine how uniformly the printed strands contrasted with the designed strand. This parameter was calculated utilising Equation (2) [67 (link)]:
The printing accuracy of each scaffold model was measured following Equation (3) [67 (link)]:
where is the initial area of the designed model, and is the overall area of the 3D printed model.
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