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International Journal of Bioprinting                                  In situ thermal monitoring in bioprinting



















































            Figure 4. Monitoring system and printbed acquisition scheme. Under normal circumstances, the bioprinted construct is deposited on a sterilized substrate
            (glass petri dish in this case) positioned upon the printbed for better temperature control.

            to VR images, as a top-view solution was available in this   image thresholding methods outperformed others in
            case. The function mat2gray was used for each frame of   terms of quantitative metrics. Whether applied to visible
            the series, to rescale the pixel intensity linearly between   or thermal images, this method consistently yielded
            0 and 1. This was done because even if HD images were   superior results, showcasing its robustness in image
            characterized by an 8-bit integer value pixel-wise, the IR   reconstruction. Moreover, when considering the utility of
            camera provided a radiance value on a continuous scale.  image thresholding, particularly in the context of VR and
                                                               IR images, its appeal lies in its simplicity and effectiveness.
            2.7. Bradley adaptive thresholding algorithm       While more complex segmentation methods exist, such as
            Segmentation is a diverse and dynamic field within   region-growing, edge detection, or deep learning-based
            computer  vision  and image processing,  characterized  by   techniques, image thresholding offers a straightforward
            a wide range of algorithms and approaches tailored to   and computationally efficient solution. Thus, the choice to
            various applications and imaging modalities. In previous   use image thresholding over more complex methods in this
            internal experimentations, we conducted extensive testing   context was driven by the need for simplicity and speed.
            of both supervised and unsupervised algorithms, aiming
            to  identify  the  most  effective  method  for  achieving   In  global  thresholding, a  single  threshold  value
            reconstructions with less error in both thermal and   is applied uniformly to the entire image, which may
            visible image datasets. Despite the diverse algorithms   lead to suboptimal results when dealing with images
            employed, our analyses consistently demonstrated that   characterized by non-uniform lighting conditions or


            Volume 10 Issue 3 (2024)                       399                                doi: 10.36922/ijb.2021
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