3D Reconstruction Using Light Field Camera

3D reconstruction is important as a method to represent the real world environment using a 3D digital model. The emergence of the Lytro light field camera in the market has opened up new possibilities for researchers to explore 3D reconstruction with this easily obtained off-the-shelf product. By using depth information contained in the camera, 3D reconstruction of real life objects is made possible. However, despite its huge potential, 3D reconstruction based on light field technology is still insufficiently explored. In this work, a map is obtained by using two different responses of the image, namely defocus and correspondence response, and combining both responses to get a clearer and better depth map. In the beginning stage of research, one image with a fixed point of focus is being selected as object of study and exported in multiple file formats. Some of it contains all the light field information of Lytro image, while others contain selective information such as depth data or representation of 2D image. At the initial stage, a preliminary depth map was obtained but the depth representation was not clear and obvious. In the end a 3D depth map that has the outline and shape of a real object studied was generated. It was later found out that defocus analysis can be improved by reducing the defocus analysis radius. All in all, a 3D depth map can be successfully obtained from light field picture through computations in MATLAB code

3D Reconstruction Using Light Field Camera

3D reconstruction is important as a method to represent the real world environment using a 3D digital model. The emergence of the Lytro light field camera in the market has opened up new possibilities for researchers to explore 3D reconstruction with this easily obtained off-the-shelf product. By using depth information contained in the camera, 3D reconstruction of real life objects is made possible. However, despite its huge potential, 3D reconstruction based on light field technology is still insufficiently explored. In this work, a map is obtained by using two different responses of the image, namely defocus and correspondence response, and combining both responses to get a clearer and better depth map. In the beginning stage of research, one image with a fixed point of focus is being selected as object of study and exported in multiple file formats. Some of it contains all the light field information of Lytro image, while others contain selective information such as depth data or representation of 2D image. At the initial stage, a preliminary depth map was obtained but the depth representation was not clear and obvious. In the end a 3D depth map that has the outline and shape of a real object studied was generated. It was later found out that defocus analysis can be improved by reducing the defocus analysis radius. All in all, a 3D depth map can be successfully obtained from light field picture through computations in MATLAB code

Comparison of physicochemical properties of jackfruit seed starch with potato and rice starches

10.1080/10942912.2021.1885439International Journal of Food Properties241364-37

Multimodal molecular landscape of response to Y90-resin microsphere radioembolization followed by nivolumab for advanced hepatocellular carcinoma

Background Combination therapy with radioembolization (yttrium-90)-resin microspheres) followed by nivolumab has shown a promising response rate of 30.6% in a Phase II trial (CA209-678) for advanced hepatocellular carcinoma (HCC); however, the response mechanisms and relevant biomarkers remain unknown.Methods By collecting both pretreatment and on-treatment samples, we performed multimodal profiling of tissue and blood samples and investigated molecular changes associated with favorable responses in 33 patients from the trial.Results We found that higher tumor mutation burden, NCOR1 mutations and higher expression of interferon gamma pathways occurred more frequently in responders. Meanwhile, non-responders tended to be enriched for a novel Asian-specific transcriptomic subtype (Kaya_P2) with a high frequency of chromosome 16 deletions and upregulated cell cycle pathways. Strikingly, unlike other cancer types, we did not observe any association between T-cell populations and treatment response, but tumors from responders had a higher proportion of CXCL9+/CXCR3+ macrophages. Moreover, biomarkers discovered in previous immunotherapy trials were not predictive in the current cohort, suggesting a distinctive molecular landscape associated with differential responses to the combination therapy.Conclusions This study unraveled extensive molecular changes underlying distinctive responses to the novel treatment and pinpointed new directions for harnessing combination therapy in patients with advanced HCC