Sentence examples for the images were produced using from inspiring English sources
The images were produced using Maestro (Version 9.0.211, Schrödinger Inc).
The evaluation was performed with the Surfascan software and the images were produced using SPIP™ (Scanning Probe Image Processor, Image Metrology, Denmark).
A series of four sets of images (13 15 slices for each set) were obtained using echo times (TEs) of 20, 40, 60, and 80 ms and a repetition time (TR) of 3,000 ms. The images were produced using 32 mm field of view (FOV), 1-mm slice thickness, 256 × 256 matrix, and number of excitation (NEX) of 2. MR images were used to determine the tumor size and detect signs of necrosis.
The overlay images were produced using the DAPI channel to detect the cell nuclei and nucleomorphs while the autofluorescence of the chlorophyll was detected using the Rhodamine channel.
Colour images were produced using the definitions of the filters foreseen for the CaSSIS imager of the Exomars/TGO mission in order to prepare future science operations.
These data were sent to the workstation (ADW 4.0), and colorful T1 images were produced, using Philips T1 imaging software.
Molecular graphic images were produced using the Chimera package from the Computer Graphics Laboratory, University of California, San Francisco (supported by the NIH).
Molecular graphics images were produced using the UCSF Chimera package from the Resource for Biocomputing, Visualization, and Informatics at the University of California, San Francisco (supported by NIH P41 RR-01081).
Molecular graphics images were produced using the Chimera package from the Resource for Biocomputing, Visualization, and Informatics at the University of California, San Francisco (supported by NIH P41 RR-01081).
Based on this structural model, molecular graphics images were produced using the Chimera package from the Computer Graphics Laboratory, University of California, San Francisco [ 76] (see also [ 77]).
Molecular graphics images were produced using the UCSF Chimera package from the Resource for Biocomputing, Visualization, and Informatics at the University of California, San Francisco (supported by NIH P41 RR-01081; Pettersen et al, 2004).
