Vessel tech: a high-accuracy pipeline for comprehensive mouse retinal vasculature characterization

  • PDF / 1,659,378 Bytes
  • 5 Pages / 595.276 x 790.866 pts Page_size
  • 75 Downloads / 163 Views

DOWNLOAD

REPORT


LETTER

Vessel tech: a high‑accuracy pipeline for comprehensive mouse retinal vasculature characterization Xuelin Wang1 · Guofu Zhu2 · Shumin Wang3 · Jordan Rhen3 · Jinjiang Pang3   · Zhengwu Zhang1 Received: 20 August 2020 / Accepted: 28 September 2020 © Springer Nature B.V. 2020

Abstract Mouse retinal vasculature is a well-recognized and commonly used animal model for angiogenesis and microvascular remodeling. Morphological features of retinal vasculature reflect the vessel’s biological functions, and are critical in understanding the physiological and pathological process of vascular development and disease. Here we developed a comprehensive software, Vessel Tech, using retinal vasculature images of postnatal mice. This pipeline can automatically process retinal vascular images, reconstruct vessel network with high accuracy and assess global and local vascular characteristics based on the recent machine-learning techniques. The development of Vessel Tech provides a powerful tool for vascular biologists. Keywords  Mouse retinal vasculature · Deep learning · Vascular development · Morphologic analysis · Automatic quantification

Letter to editor Blood vessels constitute the largest networks in our body and play important roles in oxygen transportation, nutrient delivery, inflammatory response, wound healing and respond to many stimuli. A subtle micro-environmental variation can result in significant morphological changes of blood vessels, especially small vessels [1]. It has been appreciated Xuelin Wang and Guofu Zhu contributed equally to this paper Electronic supplementary material  The online version of this article (https​://doi.org/10.1007/s1045​6-020-09752​-8) contains supplementary material, which is available to authorized users. * Jinjiang Pang [email protected] * Zhengwu Zhang [email protected] 1



Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA

2



Department of Cardiology, Pan-Vascular Research Institute, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 200072, China

3

Aab Cardiovascular Research Institute, Department of Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA



that vascular morphology can reflect its biological functions, and thus, analysis of vessel morphology is critical in understanding physiological and pathological processes in vascular development and diseases [2]. The current study aims at developing a comprehensive pipeline, named Vessel Tech, for automatically characterizing vascular morphology in mouse retina, which is a well-recognized animal model for angiogenesis and microvascular remodeling [3]. From postnatal day 0 (P0) to P7, the first vessel in arises from the optic nerve head and spreads radially over the entire retina following a complex vessel network. Two pivotal processes occur during this period: angiogenesis and micro-vascular remodeling [4–6]. Angiogenesis is the p