The camera used was a Canon EOS Rebel T5i with a Canon EF-S 18–55MM f/3.5–5.6 IS STM lens. The camera was connected to a computer via a USB. The camera was positioned over the opening of the evenly lit chamber. A picture of the sample on the template was taken via tethered capture using Adobe Lightroom Classic CC version 7.3.1.
Lightroom classic cc
Manufactured by Adobe
Lightroom Classic CC is a photo-editing software that provides a comprehensive suite of tools for managing, editing, and enhancing digital photographs. Its core function is to enable users to import, organize, and process their image files efficiently.
Automatically generated - may contain errors
Lab products found in correlation
3 protocols using lightroom classic cc
1
Imaging Equipment Setup for Sample Analysis
2
Image Preprocessing for Human Ratings
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Image processing was carried out in Adobe Lightroom Classic CC (version 2017) and Adobe Photoshop CC 2015. We converted the images into DNG raw files and created DNG colour calibration profiles (using the X-Rite Color Checker Passport Lightroom plugin). Then we applied the profiles to all photographs. The calibrated images were exported into 16-bit Adobe RGB TIFF files in their actual size (35 × 53 cm) with a 168 PPI resolution. We manually checked the exposure (using the eye-drop tool on the background above the participants’ heads) and corrected the exposition on 85% value of every channel in the RGB colour space if necessary. Horizontal and vertical position of each participant in the image was adjusted using the Lightroom Transform tool (target’s head was positioned into the centre of the frame with pupils on a horizontal line). Then we batch-cropped to fit the heads on 27″ monitors in 1:1 size.
In the next step, we removed any possible disturbing creases or shadows in the background. Finally, we converted the photographs into an sRGB colour space and exported them into an 8-bit JPEG format (2101 × 3031 resolution, 168 PPI, sRGB) for the rating.
In the next step, we removed any possible disturbing creases or shadows in the background. Finally, we converted the photographs into an sRGB colour space and exported them into an 8-bit JPEG format (2101 × 3031 resolution, 168 PPI, sRGB) for the rating.
3
Insect Species Identification Protocol
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The individuals were identified up to the species level using dichotomous keys according to each genus as follows: Acanthops Audinet-Serville, 1831 (lOmBardO & ippOlitO 2004) (link); Macromantis Saussure, 1871 (rOy 2002) ; Miobantia Giglio-Tos, 1917 (SCherrer 2014) (link); Parastagmatoptera Saussure, 1871 (lOmBardO et al. 2015) (link); Stagmatoptera Burmeister, 1838 (rOdrigueS & CanCellO 2016); (link)and Zoolea Audinet-Serville, 1839 (rOy & ehrmann 2009) . The original descriptions were also used as a complement (e.g., rehn 1911; rehn 1916) . When necessary, photographs and/or specimens previously identified were used for comparison. group studied. BrannOCh et al. (2017) (link) was used as a guide for morphological features.
Specimens were photographed with Nikon D3200 with macro lens 'micro Nikkor 60 mm AF-S ED', and an 18% grey cardboard as background. Photographic material was handled in Adobe Lightroom Classic CC ® and Adobe Photoshop CC 2018 ® software's. Specimens' coloration was not altered.
Specimens were photographed with Nikon D3200 with macro lens 'micro Nikkor 60 mm AF-S ED', and an 18% grey cardboard as background. Photographic material was handled in Adobe Lightroom Classic CC ® and Adobe Photoshop CC 2018 ® software's. Specimens' coloration was not altered.
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