Eos 1100d

Protein quantification was carried out using a NanoDrop 2000c spectrophotometer from ThermoFisher Scientific Inc. (USA). All size-exclusion chromatography was carried out on an NGC^TM Medium-Pressure Chromatography System from Bio-Rad Laboratories, Inc (USA). Agarose gel electrophoresis (AGE) was performed on Mini-Sub® cell GT from Bio-Rad Laboratories, Inc. (USA). Gel images were captured using an EOS 1100D from Canon (Japan). Electron microscopy images were obtained on a TFS Tecnai F20 FEG (USA). Fluorimetry was carried out on a QuantaMaster^TM 50 fluorometer from Photon Technology International (USA). Confocal fluorescence microscopy images were obtained on an SP8-AOBS from Leica (Germany). Flow cytometry was carried out on an LSRFortessa from BD Biosciences (USA).

Bright field images, and GFP and RFP fluorescence images of Arabidopsis seeds were collected using a LeicaMZ16FA fluorescence stereomicroscope (Leica, Wetzlar, Germany). F₂ seeds were placed on the microscope platform by uniformly distributing them on a sheet of paper in a line-shape with a diameter of ~ 1.5–2 cm (in total approximately 3000–5000 seeds). By moving the platform of the microscope following this line at a zoom drive of 7.17×, ten non-overlapping bright field (exposure: 1.1 s, gain: 1.0, saturation: 1.0, gamma: 1.21), RFP (exposure: 1.1 s, gain: 1.0, saturation: 1.0, gamma: 1.21) and GFP (exposure: 4.0 s, gain: 1.0, saturation: 1.0, gamma: 1.21) images were captured and stored as 2592 × 1944 pixel² TIFF files with the 1.5 × scaling setting applied. The automatic white balance function was applied on the bright field images and switched off during capturing of the fluorescence images. The same settings were used for all images collected. Bright field images of rapeseeds and barley grains were collected using a fixed digital camera setup (Canon EOS 1100D). Because fluorescence images could not be captured for these species, the bright field images were also used as input for fluorescence classification to allow normal operation of MeioSeed.

The stomach and small intestine of each animal was thrown out and opened along its greater curvature. The tissue was gently rinsed in NaCl 0.9%. The lesions in the gastric mucosa were macroscopically examined and the photographs of hemorrhagic erosions were taken by Canon EOS1100 D (ISO 6400) digital camera. Ulcer indexes were determined as the sum of the lengths of the whole gastric lesions (mm²). Two independent, blinded observers performed the measurements of lesion lengths.

Macro images were taken using Canon EOS 1100D. Images were made into combined figures using Inkscape.

For all leaf movement experiments, Canon EOS 1100D high resolution cameras were used. Cameras and plates were fixed to avoid positional changes in the course of the experiment. White paper was affixed behind the plates to increase the contrast of the plants to the background. Three cameras were controlled by one computer using the Linux-based program gphoto2. Focus settings were set on manual and checked before each experiment started. Pictures were taken for seven days at a rate of one picture every 10 min.

The interviewers were presented on a monitor (Lenovo, $2880\times 1620$ pixels, $34.31\times 19.30$  cm) and controlled by a native Latvian member of the experiment team through a Unity game engine in the same room. The viewing distance was 60 cm. Eye movements were recorded by Tobii Pro Nano with a 60 Hz refresh rate and calibrated before each session by the Tobii Pro Lab. Facial expressions were monitored by the web-camera (Logitech—the C270 HD Webcam, 720p/30fps), and body language was recorded by the RGB camera (Canon EOS 1100 D, 25 fps). In addition, heart-beat ratios were monitored using a smartwatch (Fitbit Versa 2) every five seconds, but the research has focused on facial expressions data in this paper, and thus, the data of heart-beat ratios, eye tracking, and body language were not used.