Autonomous holographic imaging system for long term in situ studies of marine particle dynamics.

用于海洋粒子动力学长期原位研究的自主全息成像系统。

• 批准号: 1634053
• 负责人: James Sullivan
• 金额: $ 89.48万
• 依托单位: Florida Atlantic University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1634053&HistoricalAwards=false
• 关键词: Autonomous; holographic; imaging; system; long

A myriad of particles with vastly varying shapes and sizes, ranging from suspended organic/inorganic material to single celled, colonial, and multi-cellular plankton, densely populate the world's oceans. They are major drivers in fields as diverse as sediment transport, remote sensing/ocean optics, ecological studies of marine food webs, and carbon sequestration. Thus, instruments that can directly quantify particle characteristics, distribution, and concentration are critical to numerous science disciplines. Digital holography is an ideal tool to study particles, providing 3-D information within free stream sampling volumes that vastly exceed the 2-D cross sections sampled by conventional imaging instruments. Holographic images of undisturbed particles and their related flow fields can provide data critical to science questions requiring an understanding of particle motions and interactions, particle size, shape, fine-scale distribution, and spatial-temporal dynamics. The instrument being developed through this project could encourage interdisciplinary studies at the intersection of ocean optics, marine biology, biogeochemical cycles, and small-scale fluid dynamics, and lead to significant advancements in each of these areas.The objective of this project is to design, fabricate and rigorously test/validate an autonomous digital holographic camera system capable of quantifying the characteristics of in situ particles within a size range of ~ 1 micron to 2 cm. The instrument will be designed to sample an undisturbed volume of water and quantify particle number, size and shape (e.g. cross-sectional area, surface area, aspect ratio, sphericity), the 3-D spatial structure of the particle field (e.g. nearest neighbor distances), and the local fluid flows at the scale of the particles (via holographic PIV of the imaged volume). Identification of particles with unique shape characteristics (e.g. bubbles, oil droplets, phytoplankton and zooplankton) and particle orientation will be achievable. The instrument will be compact, submersible, biofouling resistant, fully autonomous with self-contained data logging and power, with adjustable resolution and sampling volume, and will be adaptable for use on vertical profilers, AUVs, tow-bodies, and long-term deployment on moorings. The device will be designed with the goal of science versatility and future commercialization for routine use by the scientific community.

无数形状和大小各异的颗粒，从悬浮的有机/无机物质到单细胞、群体和多细胞浮游生物，密集地分布在世界海洋中。它们是沉积物迁移、遥感/海洋光学、海洋食物网生态研究和碳固存等不同领域的主要驱动力。因此，能够直接量化颗粒特性、分布和浓度的仪器对许多科学学科至关重要。数字全息术是研究粒子的理想工具，在自由流采样体积内提供3-D信息，大大超过了传统成像仪器采样的2-D截面。未受干扰的颗粒及其相关流场的全息图像可以提供对需要了解颗粒运动和相互作用、颗粒大小、形状、细尺度分布和时空动力学的科学问题至关重要的数据。通过该项目正在开发的仪器可以鼓励在海洋光学、海洋生物学、海洋地球化学循环和小规模流体动力学的交叉点进行跨学科研究，并导致在这些领域的重大进展。制造和严格测试/验证自主数字全息照相机系统，该系统能够量化~ 1微米至2厘米尺寸范围内的原位颗粒的特性。该仪器将被设计为对未受干扰的水体积进行采样，并量化颗粒数量、尺寸和形状（例如横截面积、表面积、纵横比、球形度）、颗粒场的3-D空间结构（例如最近邻距离）以及颗粒尺度下的局部流体流动（通过成像体积的全息PIV）。将能够识别具有独特形状特征的颗粒（例如气泡、油滴、浮游植物和浮游动物）和颗粒方向。该仪器将是紧凑的，潜水的，抗生物污染的，完全自主的，具有独立的数据记录和电源，具有可调节的分辨率和采样量，并将适用于垂直剖面仪，AUV，拖曳体和长期部署在系泊设备上。该器械的设计目标是科学多功能性和未来商业化，供科学界常规使用。

项目成果

Enhanced Light Absorption by Horizontally Oriented Diatom Colonies

水平定向硅藻菌落增强光吸收

• DOI: 10.3389/fmars.2020.00494
• 发表时间: 2020
• 期刊: Frontiers in Marine Science
• 影响因子: 3.7
• 作者: McFarland, Malcolm;Nayak, Aditya R.;Stockley, Nicole;Twardowski, Michael;Sullivan, James
• 通讯作者: Sullivan, James

High-Resolution Sampling of a Broad Marine Life Size Spectrum Reveals Differing Size- and Composition-Based Associations With Physical Oceanographic Structure

• DOI: 10.3389/fmars.2020.542701
• 发表时间: 2020-12-22
• 期刊: FRONTIERS IN MARINE SCIENCE
• 影响因子: 3.7
• 作者: Greer, Adam T.;Lehrter, John C.;Penta, Bradley
• 通讯作者: Penta, Bradley

Editorial: Small Scale Spatial and Temporal Patterns in Particles, Plankton, and Other Organisms

社论：颗粒、浮游生物和其他生物的小规模时空模式

• DOI: 10.3389/fmars.2021.669530
• 发表时间: 2021
• 期刊: Frontiers in Marine Science
• 影响因子: 3.7
• 作者: Nayak, Aditya R.;Jiang, Houshuo;Byron, Margaret L.;Sullivan, James M.;McFarland, Malcolm N.;Murphy, David W.
• 通讯作者: Murphy, David W.

Automated plankton classification from holographic imagery with deep convolutional neural networks

• DOI: 10.1002/lom3.10402
• 发表时间: 2020-12-03
• 期刊: LIMNOLOGY AND OCEANOGRAPHY-METHODS
• 影响因子: 2.7
• 作者: Guo, Buyu;Nyman, Lisa;Hong, Jiarong
• 通讯作者: Hong, Jiarong

Vertical distributions of blooming cyanobacteria populations in a freshwater lake from LIDAR observations

• DOI: 10.1016/j.rse.2019.02.025
• 发表时间: 2019-05-01
• 期刊: REMOTE SENSING OF ENVIRONMENT
• 影响因子: 13.5
• 作者: Moore, Timothy S.;Churnside, James H.;Ruberg, Steven A.
• 通讯作者: Ruberg, Steven A.