Bridging the Gap: From 2D Cell Culture to 3D Microengineered Extracellular Matrices
نویسندگان
چکیده
منابع مشابه
Bridging the Gap Between 2D and 3D Organ Segmentation
There has been a debate on whether to use 2D or 3D deep neural networks for volumetric organ segmentation. Both 2D and 3D models have their advantages and disadvantages. In this paper, we present an alternative framework, which trains 2D networks on different viewpoints for segmentation, and builds a 3D Volumetric Fusion Net (VFN) to fuse the 2D segmentation results. VFN is relatively shallow a...
متن کاملTunable Hydrogels from Pulmonary Extracellular Matrix for 3D Cell Culture.
Here we present a method for establishing multiple component cell culture hydrogels for in vitro lung cell culture. Beginning with healthy en bloc lung tissue from porcine, rat, or mouse, the tissue is perfused and submerged in subsequent chemical detergents to remove the cellular debris. Histological comparison of the tissue before and after processing confirms removal of over 95% of double st...
متن کاملBridging the genotype–phenotype gap in 3D
Three-dimensional architectural models have become important tools for studying physiological relationships between form and function in crop stands. Incorporating genetic variation in architectural traits would allow the use of such models for model-based, marker-assisted breeding. Perez et al. (pages 4507–4521 in this issue) applied mixed-effect models on allometric relationships to account f...
متن کاملBridging the Gap: Developing 2D and 3D User Interfaces with the IDEAS Methodology
Most user interface development methodologies have been conceived based on the experience from the development of traditional PC-based systems. However, computer and displays technology is changing. The size spectrum now ranges from large surrounding displays to small mobile devices. Besides, 3D graphics is no longer limited to graphics workstations, as most PCs are shipped with specialized har...
متن کامل2D or Not 2D: Bridging the Gap Between Tracking and Structure from Motion
In this paper, we address the problem of tracking an unknown object in 3D space. Online 2D tracking often fails for strong outof-plane rotation which results in considerable changes in appearance beyond those that can be represented by online update strategies. However, by modelling and learning the 3D structure of the object explicitly, such effects are mitigated. To address this, a novel appr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advanced Healthcare Materials
سال: 2015
ISSN: 2192-2640
DOI: 10.1002/adhm.201500427