We previously developed a pre-vascularized three-dimensional (3D) cultured human skin model, for which cells were cultured on a porous polymer membrane to supply a culture medium to the tissue. The model was transplanted onto a full-thickness skin defect in a mouse, showing the efficacy as a skin graft. However, there were difficulties in separating the cultured skins from the membranes, as well as in handling the separated soft skins for transplantation. To solve these problems, we recently developed biodegradable porous membranes that enable skin grafting together with the membranes. Poly (lactic-co-glycolic acid) (PLGA) thin films were irradiated with femtosecond laser pulses to create micro through-holes to produce porous membranes. The membrane showed complete decomposition in the mouse subcutaneous tissue within 35 days after implantation. Three-dimensional skins cultured on the membranes were then transplanted together with the membranes onto skin defects in mice, showing reepithelization in the grafted tissues. However, decomposition of the membrane was limited at the early-stage post-transplantation, and insufficient engraftment was observed in some cases. In this study, we increased the hole density of the PLGA membranes to improve their decomposition rate in tissue. We observed that the membrane was completely decomposed in the mouse subcutaneous tissue within 24 days after implantation. On the membranes, 3D skins containing vascular networks were cultivated. However, we encountered another problem that the mechanical strength of the membranes decreased with the increased hole density; some membranes were torn during skin cultivation. Considering this, we plan to further optimize the membrane conditions next.
Die-to-database inspection of optical patterned masks enables defect detection and subsequent repair for creation of defect-free masks regardless of single- or multi-die layout. The components required for optical die-to-database inspection include (1) optical photomask inspection tool with sufficient resolution to resolve the patterns of interest, (2) computational resources for (a) preparation of mask pattern data + (b) algorithms for detection and noise reduction to distinguish real defects from background variation, and (3) network and storage infrastructure to tie it all together. In this paper, we will present the first implementation of the die-to-database inspection flow on the MATRICS tool. To maximize tool utility, the system architecture decouples tool and compute resources, such that non-die-to-database inspections can proceed while die-to-database inspection also remains underway. Details of the mask pattern data preparation will be presented alongside real examples of detection capability from an Intel mask shop.
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