Determination of Cell Physiological Parameters: pH, Ca2+, Glutathione, Transmembrane Potential

2008 ◽  
pp. 325-342
Author(s):  
Attila Tárnok ◽  
Gregor Rothe
Author(s):  
Maxim E. Darvin ◽  
Johannes Schleusener ◽  
Jürgen Lademann ◽  
Chun-Sik Choe

Confocal Raman microspectroscopy is widely used in dermatology and cosmetology for analysis of the concentration of skin components (lipids, natural moisturizing factor molecules, water) and the penetration depth of cosmetic/medical formulations in the human stratum corneum (SC) in vivo. In recent years, it was shown that confocal Raman microspectroscopy can also be used for non-invasive in vivo depth-dependent determination of the physiological parameters of the SC, such as lamellar and lateral organization of intercellular lipids, folding properties of keratin, water mobility and hydrogen bonding states. The results showed that the strongest skin barrier function, which is primarily manifested by the orthorhombic organization of intercellular lipids, is provided at ≈20–40% SC depth, which is related to the maximal bonding state of water with surrounding components in the SC. The secondary and tertiary structures of keratin determine water binding in the SC, which is depth-dependent. This paper shows the technical possibility and advantage of confocal Raman microspectroscopy in non-invasive investigation of the skin and summarizes recent results on in vivo investigation of the human SC.


2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Rong-Chao Peng ◽  
Wen-Rong Yan ◽  
Ning-Ling Zhang ◽  
Wan-Hua Lin ◽  
Xiao-Lin Zhou ◽  
...  

Smartphone photoplethysmography is a newly developed technique that can detect several physiological parameters from the photoplethysmographic signal obtained by the built-in camera of a smartphone. It is simple, low-cost, and easy-to-use, with a great potential to be used in remote medicine and home healthcare service. However, the determination of the optimal region of interest (ROI), which is an important issue for extracting photoplethysmographic signals from the camera video, has not been well studied. We herein proposed five algorithms for ROI selection: variance (VAR), spectral energy ratio (SER), template matching (TM), temporal difference (TD), and gradient (GRAD). Their performances were evaluated by a 50-subject experiment comparing the heart rates measured from the electrocardiogram and those from the smartphone using the five algorithms. The results revealed that the TM and the TD algorithms outperformed the other three as they had less standard error of estimate (<1.5 bpm) and smaller limits of agreement (<3 bpm). The TD algorithm was slightly better than the TM algorithm and more suitable for smartphone applications. These results may be helpful to improve the accuracy of the physiological parameters measurement and to make the smartphone photoplethysmography technique more practical.


2015 ◽  
Vol 9 (3) ◽  
pp. 036002 ◽  
Author(s):  
Karl Unterkofler ◽  
Julian King ◽  
Pawel Mochalski ◽  
Martin Jandacka ◽  
Helin Koc ◽  
...  

2018 ◽  
Vol 12 (3) ◽  
pp. 036011 ◽  
Author(s):  
Clemens Ager ◽  
Karl Unterkofler ◽  
Pawel Mochalski ◽  
Susanne Teschl ◽  
Gerald Teschl ◽  
...  

Cytometry ◽  
1998 ◽  
Vol 31 (1) ◽  
pp. 75-75 ◽  
Author(s):  
Antonio Macho ◽  
Didier Decaudin ◽  
Maria Castedo ◽  
Tamara Hirsch ◽  
Santos A. Susin ◽  
...  

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