Eos 6d mark 2

All procedures in the current report were considered exempt by the A.T. Still University-Kirksville Institutional Review Board. Twenty-five white American Midwest cadavers from the Gift of Body Program at A.T. Still University's Kirksville College of Osteopathic Medicine were dissected to reveal the hepatobiliary anatomy. Exclusion criteria for selecting donor bodies were autopsy, donating major organs (except eyes), gross obesity, destructive trauma or extensive surgery, and communicable disease. A brief medical history was completed by the donor, or in the case of a next-of-kin donation, at the time of death. Information for the Missouri Certificate of Death was also required. Portal triads and associated vessels were carefully dissected to show the RHA and CA. In each dissection, the RHA's and CA's origin, branching pattern, and course were documented and photographed with a Canon EOS 6D Mark II camera. The length and midpoint diameter of these arteries were measured using electronic calipers, and summary statistics of these measurements were calculated using Microsoft Excel.

The examined specimens were collected from Yunnan Province in southwestern China in 2018. The descriptive terminology of the anatomical structures generally follows Wang (2006a) and Kristensen (2003) . Photographs of adults were taken using a Canon EOS 6D Mark II camera plus an EF 100 mm f/2.8L MACRO IS USM lens with the help of EOS Utility 3.10.20 software. Images of genitalia were captured using a Leica DM4 B upright microscope and photomontage was performed with Leica Application Suite X imaging software. All type specimens are deposited in the Morphological Laboratory, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, Guizhou, China.

In this study, images of diseased rice leaves were taken with a Canon EOS 6D MarkII digital camera at the Agronomy Experiment Station of Jiangxi Agricultural University, and 36 images were identified and screened by experts. An additional 1086 images were obtained through search engines as well as from the public dataset Kaggle, for a total of 1122 rice leaf disease images. These images contained eight kinds of diseases, Aphelenchoides besseyi, bacterial leaf blight, red blight, leaf smut, rice sheath blight, bacterial leaf streaks, brown spots and rice blasts, and some of these rice leaf disease images are shown in Figure 1. Among them, ACB is Aphelenchoides besseyi, BLB is bacterial leaf blight, RB is red blight, LS is leaf smut, RSB is rice sheath blight, BLS is a bacterial leaf streak, BS is a brown spot, and RL is a rice blast.

Dry specimens and dissected structures were observed using a Bresser Advance ICD10-160X microscope. Illustrations were made using a Canon EOS 6D Mark II, coupled with a Canon EF 100mm f/2.8L Macro USM and a Macro Ring Lite MR-14EX. Images were stacked using Helicon Focus software.

A scanning electron microscope (SEM, s-800, HITACHI, Tokyo, Japan) operating at 15 kV under magnification of ×200, ×600, and ×1200 and a digital camera (Canon EOS 6D Mark II) under magnification of ×5 were used to characterize the morphology of the materials. A typical image of each sample was captured.

The flow visualization experiment was implemented in a confined space to prevent surrounding airflow disturbance. A fog machine (Yakay PT-1500) was used to seed the air through the airflow tunnel with a length of 400 mm and diameter of 100 mm, and it was illuminated by using a 10-W laser LDY DualPower 304 (diode-pumped, dual cavity, Q-switched Nd: YLF) with a wavelength of 532 nm. The videos were obtained using Canon EOS 6D Mark II (for low-speed videos) and 10-bit high-speed CMOS cameras with 200 mm Micro-Nikkor lens (for high-speed videos). Particle image velocimetry (PIV) was performed using a 532 nm laser to illuminate air that is seeded with smoke. The TR-PIV (Time-resolved particle image velocimetry) was employed to measure the flow field of the turbulent boundary layer in the x–y plane (135 mm × 70 mm). According to the flow velocity, the high sampling frequency was set to 400 Hz and 4000 instantaneous snapshots of particle images were then captured. There were about 20 particles in each interrogate window (32 × 32 pixels) and the overlap rate was 75%. Universal outlier detection in Dantec Dynamic Studio was used to remove the noise, and the proportion of interpolation vectors was <1%.