Curved integral imaging 3D display could provide enhanced 3D sense of immersion and wider viewing angle, and is gaining increasing interest among discerning users. In this work, large scale microlens arrays (MLAs) on flexible PMMA substrate were achieved based on screen printing method. Meanwhile, an inverted reflowing configuration as well as optimization of UV resin's viscosity and substrate's surface wettability were implemented to improved the numerical aperture (NA) of microlenses. The results showed that the NA values of MLAs could be increased effectively by adopting inverted reflowing manner with appropriate reflowing time. With decreasing the substrate's wettability, the NA values could be increased from 0.036 to 0.096, when the UV resin contact angles increased from 60.1° to 88.7°. For demonstration, the fabricated MLAs was combined to a curved 2D monitor to realize a 31-inch curved integral imaging 3D display system, exhibiting wider viewing angle than flat integral imaging 3D display system.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367310PMC
http://dx.doi.org/10.1038/s41598-020-68620-zDOI Listing

Publication Analysis

Top Keywords

integral imaging
16
imaging display
16
curved integral
12
microlens arrays
8
improved numerical
8
numerical aperture
8
wider viewing
8
viewing angle
8
inverted reflowing
8
display system
8

Similar Publications

Neointimal coverage and stent apposition, as assessed from intravascular optical coherence tomography (IVOCT) images, are crucial for optimizing percutaneous coronary intervention (PCI). Existing state-of-the-art computer algorithms designed to automate this analysis often treat lumen and stent segmentations as separate target entities, applicable only to a single stent type and overlook automation of preselecting which pullback segments need segmentation, thus limit their practicality. This study aimed for an algorithm capable of intelligently handling the entire IVOCT pullback across different phases of PCI and clinical scenarios, including the presence and coexistence of metal and bioresorbable vascular scaffold (BVS), stent types.

View Article and Find Full Text PDF

Hepatocellular carcinoma (HCC) is a prevalent cancer that significantly contributes to mortality globally, primarily due to its late diagnosis. Early detection is crucial yet challenging. This study leverages the potential of deep learning (DL) technologies, employing the You Only Look Once (YOLO) architecture, to enhance the detection of HCC in computed tomography (CT) images, aiming to improve early diagnosis and thereby patient outcomes.

View Article and Find Full Text PDF

Application of Robot-assisted Pancreaticobiliary Junction Resection in Benign Duodenal Tumors.

J Vis Exp

December 2024

Department of General Surgery (Hepatobiliary, Pancreatic and Splenic Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University;

Robot-assisted pancreaticobiliary junction resection is a surgical technique employed to treat benign duodenal tumors. The procedure involves several key steps: making a longitudinal incision in the duodenum, excising the tumor at the pancreaticobiliary junction, inserting a biliary stent, connecting the biliary and duodenal mucosa, and suturing the duodenal incision during phase I. The robotic system enhances visibility, facilitates precise operations, minimizes duodenal traction injuries to the duodenum and surgical trauma, ensures accurate suture and fixation of bile duct stents, connects the bile duct and duodenal mucosa and reduces postoperative recovery time.

View Article and Find Full Text PDF

Spatial Transcriptomics: Biotechnologies, Computational Tools, and Neuroscience Applications.

Small Methods

January 2025

Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China.

Spatial transcriptomics (ST) represents a revolutionary approach in molecular biology, providing unprecedented insights into the spatial organization of gene expression within tissues. This review aims to elucidate advancements in ST technologies, their computational tools, and their pivotal applications in neuroscience. It is begun with a historical overview, tracing the evolution from early image-based techniques to contemporary sequence-based methods.

View Article and Find Full Text PDF

The left ventricular trabecular fractal dimension (LVTFD) derived from cardiac magnetic resonance reflects myocardial trabecular complexity, which is associated with cardiovascular disease risk. Baseline risk stratification of cancer therapy-related cardiac dysfunction (CTRCD) in patients with breast cancer who received anthracycline is a very important clinical issue. In this study, we used the Cox model to derive and validate a new score system based on LVTFD for baseline risk stratification of CTRCD in breast cancer patients receiving anthracycline.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!