Requirements for wide field of view (FOV) imaging system reflect the need for both uniform illumination as well as excellent image quality across the entire FOV. As the monocentric lens combined with a parallel array of relay imagers achieves a wide-FOV while maintaining a high resolution, we studied the monocentric cascade imaging system (MCIS). However, the imaging experiment of the prototype shows two issues, including vignetting and non-uniform image quality over the full FOV. They affect the image stitching which is necessary for wide-FOV image acquisition. This paper studies how the position of the aperture stop affects the vignetting and the local aberrations in MCIS. Moving laws of the aperture stop and its relationship with the local aberrations are presented. Moreover, aspheric surfaces on proper surfaces are introduced and studied to balance the local aberrations. Accordingly, an MCIS with uniform illumination and good image quality is presented. The MCIS achieves a wide-FOV of 116.4° and an instantaneous FOV of 0.0021°. It keeps a relative illumination exceeding 97% during the full FOV. The modulation transfer function (MTF) is over 0.285 at the Nyquist frequency of 270 lp/mm. This paper provides a profound theorical reference for further applications and developments of MCIS.

Download full-text PDF

Source
http://dx.doi.org/10.1364/OE.458180DOI Listing

Publication Analysis

Top Keywords

imaging system
12
image quality
12
local aberrations
12
wide field
8
field view
8
uniform illumination
8
achieves wide-fov
8
full fov
8
aberrations mcis
8
fov
5

Similar Publications

Background: Internal displacement and cross-country migration are an increasing global phenomenon drawing the attention of politicians and the public. Causes and effects on the migrants and receptor populations are varied and often shaped by immigration laws and how migrants and refugees are being dealt with by local conditions, policy frameworks and by the host population (receptors). The massive influx of Venezuelan migrants into Colombia for more than a decade has characteristics which warrant a systematic analysis to identify contextual and individual factors favouring and hindering the well-being of migrants and their new Colombian neighbours of the receptor population.

View Article and Find Full Text PDF

A Cross-scale Attention-Based U-Net for Breast Ultrasound Image Segmentation.

J Imaging Inform Med

January 2025

Health Informatics, College of Public Health, George Mason University, Fairfax, VA, 22030, USA.

Breast cancer remains a significant global health concern and is a leading cause of mortality among women. The accuracy of breast cancer diagnosis can be greatly improved with the assistance of automatic segmentation of breast ultrasound images. Research has demonstrated the effectiveness of convolutional neural networks (CNNs) and transformers in segmenting these images.

View Article and Find Full Text PDF

To explore techniques, advantages and disadvantages of 3D Slicer reconstruction and 3D printing localization technology combined with transcranial neuroendoscopy in ventriculoperitoneal shunt surgery. Retrospective analysis of clinical data of patients with hydrocephalus treated by ventriculoperitoneal shunt surgery using 3D Slicer reconstruction and 3D printing positioning technology combined with transcranial neuroendoscopy in our hospital from October 2021 to March 2023. A total of 33 patients with complete data were collected, including 19 males and 14 females, aged 10-81 years.

View Article and Find Full Text PDF

The present article focuses on the analysis of the two-phase flow of blood via a stenosed artery under the influence of a pulsatile pressure gradient. The core and plasma regions of flow are modeled using the constitutive relations of Herschel-Bulkley and the Newtonian fluids, respectively. The problem is modeled in a cylindrical coordinate system.

View Article and Find Full Text PDF

Development of an artificial intelligence system to indicate intraoperative findings of scarring in laparoscopic cholecystectomy for cholecystitis.

Surg Endosc

January 2025

Department of Gastroenterological and Pediatric Surgery, Faculty of Medicine, Oita University, 1-1 Hasama-Machi, Yufu, Oita, 879-5593, Japan.

Background: The surgical difficulty of laparoscopic cholecystectomy (LC) for acute cholecystitis (AC) and the risk of bile duct injury (BDI) depend on the degree of fibrosis and scarring caused by inflammation; therefore, understanding these intraoperative findings is crucial to preventing BDI. Scarring makes it particularly difficult to perform safely and increases the BDI risk. This study aimed to develop an artificial intelligence (AI) system to indicate intraoperative findings of scarring in LC for AC.

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!