scholarly journals Spatio-temporal Fluctuation of Salinity and Dissolved Oxygen in Lake Jusan

2008 ◽  
Vol 55 ◽  
pp. 1051-1055
Author(s):  
Makoto UMEDA ◽  
Hitoshi TANAKA ◽  
Eriko KONISHI ◽  
Mikio SASAKI
2021 ◽  
Vol 9 ◽  
Author(s):  
Gabriel T. Huynh ◽  
Vidhishri Kesarwani ◽  
Julia A. Walker ◽  
Jessica E. Frith ◽  
Laurence Meagher ◽  
...  

Reactive oxygen species (ROS) and dissolved oxygen play key roles across many biological processes, and fluorescent stains and dyes are the primary tools used to quantify these species in vitro. However, spatio-temporal monitoring of ROS and dissolved oxygen in biological systems are challenging due to issues including poor photostability, lack of reversibility, and rapid off-site diffusion. In particular, ROS monitoring is hindered by the short lifetime of ROS molecules and their low abundance. The combination of nanomaterials and fluorescent detection has led to new opportunities for development of imaging probes, sensors, and theranostic products, because the scaffolds lead to improved optical properties, tuneable interactions with cells and media, and ratiometric sensing robust to environmental drift. In this review, we aim to critically assess and highlight recent development in nanosensors and nanomaterials used for the detection of oxygen and ROS in biological systems, and their future potential use as diagnosis tools.


Author(s):  
Souichi Saeki ◽  
Junichi Funakoshi ◽  
Takashi Saito ◽  
Kazuyuki Nakamura

“2-Color laser-induced fluorescence” (2-C LIF) is a novel quantitative temperature measurement method. This can eliminate the undesirable spatio-temporal fluctuation of excitation intensity occurred by light source and channel configuration using a ratio-metric technique with two fluorescence images. Therefore, it can obtain quantitative temperature distribution, and thus simplify temperature calibration in micro channel. In this paper, we applied it to micro-electrokinetic flow. Consequently, the spatial intensity error could be reduced to about 95% as compared with 1-Color LIF image. The temperature distribution in microchannel was quantitatively visualized at the high resolution 0.12×0.12 μm, high sensitivity 1.98%/K and high accuracy ± 0.27 K.


Cells ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 3353
Author(s):  
Shani Ben Baruch ◽  
Noa Rotman-Nativ ◽  
Alon Baram ◽  
Hayit Greenspan ◽  
Natan T. Shaked

We present a new classification approach for live cells, integrating together the spatial and temporal fluctuation maps and the quantitative optical thickness map of the cell, as acquired by common-path quantitative-phase dynamic imaging and processed with a deep-learning framework. We demonstrate this approach by classifying between two types of cancer cell lines of different metastatic potential originating from the same patient. It is based on the fact that both the cancer-cell morphology and its mechanical properties, as indicated by the cell temporal and spatial fluctuations, change over the disease progression. We tested different fusion methods for inputting both the morphological optical thickness maps and the coinciding spatio-temporal fluctuation maps of the cells to the classifying network framework. We show that the proposed integrated triple-path deep-learning architecture improves over deep-learning classification that is based only on the cell morphological evaluation via its quantitative optical thickness map, demonstrating the benefit in the acquisition of the cells over time and in extracting their spatio-temporal fluctuation maps, to be used as an input to the classifying deep neural network.


2019 ◽  
Vol 39 (5) ◽  
pp. 586-593
Author(s):  
Paulinus Chigbu ◽  
Lauren Malinis ◽  
Hector Malagon ◽  
Steve Doctor

Abstract Sand shrimp, Crangon septemspinosaSay, 1818, is one of the most abundant decapod crustaceans in estuaries and coastal waters of the northwestern Atlantic Ocean, though little is known about its population dynamics in polyhaline lagoons of the mid-Atlantic region. Seasonal and spatial patterns of abundance and distribution of C. septemspinosa were evaluated in relation to temperature, salinity, and dissolved oxygen in Maryland coastal bays (MCBs) using monthly data (April to October 1994 to 2012). We tested the hypothesis that temperature influences the occurrence and distribution of sand shrimp in the lagoons. A consistent pattern of high relative abundance of shrimp in spring and its scarcity in summer and early fall was observed. Shrimp abundance was highest in the northern bays and at sites closest to the Ocean City Inlet during April, but lowest at sites in the upper parts of Chincoteague Bay and MCBs tributaries. As mean temperature increased from April (12.2–17.1 oC) to June (21.8–26.7 oC), the relative abundance of the shrimp decreased substantially at most sites except at two sites where mean water temperature was comparatively low (21.8–23.3 oC). By July, when mean temperature was at its maximum (23.1–28.9 oC) in the bays, shrimp were rarely caught in trawls even in early fall in spite of the decline in temperature. It is likely that shrimp moved into nearshore waters with cooler temperature or suffered high mortality due to high temperature during this period. Generalized linear models suggest that temperature, and temperature and dissolved oxygen combined, were the most important abiotic factors examined that influenced the spatial distribution of C. septemspinosa in May and June, respectively. Considering their trophic importance, the spatio-temporal variations in the occurrence and abundance of the shrimp have implications for food web dynamics in the MCBs.


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