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International Journal of Bioprinting                             ML-generated GelMA compression database












































            Figure 2. Mechanical stress testing of printed scaffolds. (A–C) Printed scaffolds subjected to (A) ultraviolet light (UV)-crosslinking at 405 nm; and B. Photo
            of the printed scaffold during compression testing on the uniaxial EZ-L testing machine and C. after the compression testing. (D)The stop limit at 1 mm
            corresponds to 30–50% strain. The red group displays the value of the printed scaffold immediately following preparation, with the blue group showing
            the value after a day of immersion in the medium. The stop limit at 1 mm corresponds to 30–50% strain. (E) Relationship between distance and intensity
            of UV source.

             (iv)  Experimentation: A batch of experiments is   were observed to have disintegrated into the media
                 returned to the experimenter, and laboratory (real-  overnight due to insufficient crosslinking of the bioink.
                 world)  experiments  are  conducted.  The  resulting   This initiated the second search space alteration from the
                 compression modulus values are obtained and   third iteration onwards.
                 pre-processed to update the GP model. The entire
                 process restarts at (ii).                     2.5.2. Gaussian process model fitting
                                                               A GP model was fitted to the data to represent the system. In
               Further details of each component are discussed below.  any experimental setting, the model provides a prediction

            2.5.1. Search space                                for the compression modulus along with the associated
            Table 1 details the range and the discretized step size of   uncertainty (standard deviation), reflecting the confidence
            post-print crosslinking parameters for GelMA used   of the model in its prediction.
            throughout the experiment, i.e., 10 iterations. From the   Equations I and II correspond to determining the
            initial recommendations, it was evident that adjustments   mean and variance of the model, where  y   f   is the
            to the crosslinker concentration and UV exposure time   noisy system response (i.e., the compression modulus)
            were required due to constraints during experimentation.   and x is the vector form of the experiment settings. We
            The addition of high photoinitiator concentration resulted   assume the noise of each sample is normally distributed

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            in immediate crosslinking of the bioink, hindering its   by ϵ ~ N 0,  . We use the average variance of samples
                                                                          n
            extrusion  from  the  printing  nozzle.  Hence,  the  search   to represent this noise (more details are provided in
            space for the crosslinker concentration was reduced to   Section 3.4). The relationship between points within the
            0.01–1% (w/v) in the second iteration. Moreover, scaffolds   experimental space is governed by a kernel function,
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            that were exposed to UV for a short period (e.g., 10–20 s)    which is parameterized by a length scale vector (l∈�l   ),
            Volume 10 Issue 5 (2024)                       563                                doi: 10.36922/ijb.3814
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