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The estimation method proposed for hiding capacity estimation of the real objective images is more contributive to the Engineering Application.
One key characteristic of MaF9 is that the points in the regular polygon (including the boundaries) and their objective images are similar in the sense of Euclidean geometry [25].
However, this kind of abstraction of models can only act as a theoretical guide for hiding information capacity estimation of the real objective images and is not very much contributive to the accomplishment of the project.
Using a 40× oil objective, images were scanned at 0.6 μm intervals in the z-axis.
We use a Leica TCS SP5 confocal microscope with either x20 or x40 objective; images were collected at 8-bit depth, with a resolution of 1024 × 1024 pixels.
We waited for 48 h, and Confocal Timelapse (Confocal Zeiss 710 × 40 water objective) images were taken every 30 s for 1 h.
Using a 40× oil immersion objective, images (512 × 512) were captured (3 averages) through the Leica Application Suite (LAS) software (Version 2.0) (Leica Microsystems GmbH).
Neurites were viewed with a × 20 objective, images were projected onto a video monitor, and neurite lengths were traced with a digitizing tablet while being viewed on the monitor.
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The cells were imaged daily with an Olympus IX71 microscope with the OASIS automation control system and Surveyor imaging software version 5.5.5.26 (Objective Imaging Ltd., Cambridge, UK).
This low-cost device, in conjunction with an objective image classification algorithm, demonstrates the benefits of in situ high-resolution imaging of oral mucosa, and the potential to distribute this technology to a broad patient population.
Confocal imaging was performed using a Perkin Elmer microscope using oil-immersion 63× objective, imaged with Velocity software.
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