Innovative High Gas Pressure Microscopy Chamber Designed for Biological Cell Observation

2016 ◽  
Vol 22 (1) ◽  
pp. 63-70 ◽  
Author(s):  
Mélanie Ragon ◽  
Hue Nguyen Thi Minh ◽  
Stéphane Guyot ◽  
Pauline Loison ◽  
Gaëtan Burgaud ◽  
...  

AbstractAn original high-pressure microscopy chamber has been designed for real-time visualization of biological cell growth during high isostatic (gas or liquid) pressure treatments up to 200 MPa. This new system is highly flexible allowing cell visualization under a wide range of pressure levels as the thickness and the material of the observation window can be easily adapted. Moreover, the design of the observation area allows different microscope objectives to be used as close as possible to the observation window. This chamber can also be temperature controlled. In this study, the resistance and optical properties of this new high-pressure chamber have been tested and characterized. The use of this new chamber was illustrated by a real-time study of the growth of two different yeast strains – Saccharomyces cerevisiae and Candida viswanathii – under high isostatic gas pressure (30 or 20 MPa, respectively). Using image analysis software, we determined the evolution of the area of colonies as a function of time, and thus calculated colony expansion rates.

2016 ◽  
Vol 49 (5) ◽  
pp. 1478-1487 ◽  
Author(s):  
Bénédicte Lafumat ◽  
Christoph Mueller-Dieckmann ◽  
Gordon Leonard ◽  
Nathalie Colloc'h ◽  
Thierry Prangé ◽  
...  

Molecular oxygen (O2) is a key player in many fundamental biological processes. However, the combination of the labile nature and poor affinity of O2 often makes this substrate difficult to introduce into crystals at sufficient concentrations to enable protein/O2 interactions to be deciphered in sufficient detail. To overcome this problem, a gas pressure cell has been developed specifically for the `soak-and-freeze' preparation of crystals of O2-dependent biological molecules. The `soak-and-freeze' method uses high pressure to introduce oxygen molecules or krypton atoms (O2 mimics) into crystals which, still under high pressure, are then cryocooled for X-ray data collection. Here, a proof of principle of the gas pressure cell and the methodology developed is demonstrated with crystals of enzymes (lysozyme, thermolysin and urate oxidase) that are known to absorb and bind molecular oxygen and/or krypton. The successful results of these experiments lead to the suggestion that the soak-and-freeze method could be extended to studies involving a wide range of gases of biological, medical and/or environmental interest, including carbon monoxide, ethylene, methane and many others.


2021 ◽  
Vol 13 (15) ◽  
pp. 8452
Author(s):  
Rajesh Singh ◽  
Mohammed Baz ◽  
Anita Gehlot ◽  
Mamoon Rashid ◽  
Manpreet Khurana ◽  
...  

Water being one of the foremost needs for human survival, conservation, and management of the resource must be given ultimate significance. Water demand has increased tremendously all over the world from the past decade due to urbanization, climatic change, and ineffective management of water. The advancement in sensor and wireless communication technology encourages implementing the IoT in a wide range. In this study, an IoT-based architecture is proposed and implemented for monitoring the level and quality of water in a domestic water tank with customized hardware based on 2.4 GHz radiofrequency (RF) communication. Moreover, the ESP 8266 Wi-Fi module-based upper tank monitoring of the proposed architecture encourages provide real-time information about the tank through internet protocol (IP). The customized hardware is designed and evaluated in the Proteus simulation environment. The calibration of the pH sensor and ultrasonic value is carried out for setting the actual value in the prototype for obtaining the error-free value. The customized hardware that is developed for monitoring the level and quality of water is implemented. The real-time visualization and monitoring of the water tank are realized with the cloud-enabled Virtuino app.


This paper presents a system for real-time visualization of very large image data sets using ondemand loading and dynamic view prediction. We use a robust image representation scheme for efficient adaptive rendering and introduce a fast perspective view generation module to extend the applicability of the system to panoramic images. We demonstrate the effectiveness of the system by applying it both to imagery that does not require perspective correction and to very large panoramic data sets requiring perspective view generation. Furthermore, we extend and generalize the system to enable a wide range of applications. In a broad set of applications, the system permits smooth, real-time interactive navigation of very large panoramic and non-panoramic image data sets on average personal computers without the use of specialized hardware.


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