scholarly journals Non-invasive long-term and real-time analysis of endocrine cells on micro-electrode arrays

2012 ◽  
Vol 590 (5) ◽  
pp. 1085-1091 ◽  
Author(s):  
Matthieu Raoux ◽  
Yannick Bornat ◽  
Adam Quotb ◽  
Bogdan Catargi ◽  
Sylvie Renaud ◽  
...  
Keyword(s):  
Real Time ◽  
Endocrine Cells ◽  
Electrode Arrays ◽  
Time Analysis ◽  
Non Invasive ◽  
Real Time Analysis ◽  
Micro Electrode Arrays

scholarly journals The metabolomic scent of cancer disease progression in soft tissue sarcoma: A case report

2019 ◽  
Vol 34 (2) ◽  
pp. 205-209 ◽  
Author(s):  
Gianmaria Miolo ◽  
Debora Basile ◽  
Andrea Carretta ◽  
Davide Adriano Santeufemia ◽  
Agostino Steffan ◽  
...  
Keyword(s):  
Case Report ◽  
Soft Tissue ◽  
Soft Tissue Sarcoma ◽  
Disease Progression ◽  
Real Time ◽  
Time Analysis ◽  
Cancer Disease ◽  
Non Invasive ◽  
Real Time Analysis ◽  
Volatile Organic

Background: The purpose of this case report is to describe the potential that metabolomics breath analysis may have in cancer disease monitoring. The advances in mass spectrometry instrumentation allow the accurate real-time analysis of volatile metabolites exhaled in the breath. The application of such non-invasive devices may provide innovative and complementary monitoring of the physio-pathological conditions of cancer patients. Case presentation: A 59-year-old Caucasian woman with spindle cell malignant mesenchymal sarcoma of the presacral region started a first-line therapy with non-pegylated liposomal doxorubicin and ifosfamide associated with pelvic radiant treatment. After two cycles of chemotherapy plus radiotherapy, a significant pulmonary disease progression was reported. Thus, a second-line therapy with trabectedin was administered. However, after only two cycles of treatment a re-staging computed tomography scan reported further cancer disease progression of the target pulmonary lesions as well as occurrence of new satellite bilateral nodules. Real-time analysis of breath exhaled volatile organic compounds, performed by select ion flow tube mass spectrometry (SIFT-MS) during the follow-up of the patient, showed a specific metabolic pattern not observed in the breath of other soft tissue sarcoma patients who achieved clinical benefit from the treatments. Conclusions: This case report revealed the importance of the non-invasive real-time volatile organic compounds breath analysis to distinguish individual specific chemo-resistance phenotypes among soft tissue sarcoma patients. Such observation seems to suggest that breath metabolomics may be particularly useful for monitoring cancer disease progression in soft tissue sarcoma patients where only cost-effective diagnostic tools, such as positron emission tomography and computed tomography, are available.

Simultaneous indirect activity measurements of GH and PRL genes in the same, living mammosomatotrope

1999 ◽  
Vol 277 (6) ◽  
pp. E1150-E1153
Author(s):  
Scott T. Willard ◽  
Michael D. Amstutz ◽  
Elizabeth J. Abraham ◽  
Justo P. Castaño ◽  
David C. Leaumont ◽  
...  
Keyword(s):  
Growth Hormone ◽  
Real Time ◽  
Endocrine Cells ◽  
Pituitary Cells ◽  
Time Analysis ◽  
Complete Understanding ◽  
Real Time Analysis ◽  
Activity Measurements

Dynamic intracellular processes in endocrine cells are usually controlled by the coordinated modulation of two or more functionally related genes. Attempts to gain a more complete understanding of these processes would be facilitated greatly by a method enabling activity measurements of two genes at the same time. Here we describe how we developed such a system and used it to determine indirectly whether individual, living pituitary cells could concurrently express both the growth hormone (GH) and prolactin (PRL) genes. Our results demonstrate that coexpression of these genes is indeed possible. Moreover, our findings provide a general paradigm for future “real-time” analysis of other interrelated genes involved in the regulation of endocrine processes.

Non-invasive spatial visualization system of exhaled ethanol for real-time analysis of ALDH2 related alcohol metabolism

The Analyst ◽  
2011 ◽  
Vol 136 (18) ◽  
pp. 3680 ◽  
Author(s):  
Xin Wang ◽  
Eri Ando ◽  
Daishi Takahashi ◽  
Takahiro Arakawa ◽  
Hiroyuki Kudo ◽  
...  
Keyword(s):  
Real Time ◽  
Spatial Visualization ◽  
Alcohol Metabolism ◽  
Time Analysis ◽  
Visualization System ◽  
Non Invasive ◽  
Real Time Analysis

scholarly journals A Novel Non-Invasive Algorithm Using the concept of Nail Based Anemia Disease Detection

2021 ◽  
Vol 23 (2) ◽  
Author(s):  
Saurabh Mitra ◽  
◽  
Dr. Shanti Rathore ◽  
Dr. Sanjeev Kumar Gupta ◽  
Keyword(s):  
Real Time ◽  
Human Life ◽  
Time Analysis ◽  
Non Invasive ◽  
Real Time Analysis ◽  
Deadly Disease ◽  
Analysis System ◽  
Human Nails ◽  
Learning Concept

Anemia is a danger disease for the human life. If anemia diagnosis is not found in time than its very difficult to recover the patient specially in COVID-19 time it’s a deadly disease. As we know in this era 2020 COVID is create a huge change in human life that’s why after 2019 is called New life. As we know there is lots of approaches are there to identify the anemia, but there is very few approaches are there which are non-invasive, and those approaches are not good in terms of the quality of the result and most important they are not a good real time analysis system. So, in this paper we proposed a novel non-invasive algorithm which is able to detect the anemia using the human nails. In this approach we use computer vision, machine and deep learning concept and based on that only we decide the anemia level on any particular patient. Our propose approach is complete real time and this system is able to provide result in very less time. Key Words:Invasive, Non-Invasive, SPO2, Hardware, Device.

scholarly journals A Real-Time Monitoring System for the Facial Nerve

Neurosurgery ◽  
2010 ◽  
Vol 66 (6) ◽  
pp. 1064-1073 ◽  
Author(s):  
Julian Prell ◽  
Jens Rachinger ◽  
Christian Scheller ◽  
Alex Alfieri ◽  
Christian Strauss ◽  
...  
Keyword(s):  
Facial Nerve ◽  
Functional Outcome ◽  
Real Time ◽  
Operative Procedure ◽  
Real Time Monitoring ◽  
Time Analysis ◽  
Term Outcome ◽  
Long Term Outcome ◽  
Real Time Analysis

Abstract OBJECTIVE Damage to the facial nerve during surgery in the cerebellopontine angle is indicated by A-trains, a specific electromyogram pattern. These A-trains can be quantified by the parameter “traintime,” which is reliably correlated with postoperative functional outcome. The system presented was designed to monitor traintime in real-time. METHODS A dedicated hardware and software platform for automated continuous analysis of the intraoperative facial nerve electromyogram was specifically designed. The automatic detection of A-trains is performed by a software algorithm for real-time analysis of nonstationary biosignals. The system was evaluated in a series of 30 patients operated on for vestibular schwannoma. RESULTS A-trains can be detected and measured automatically by the described method for real-time analysis. Traintime is monitored continuously via a graphic display and is shown as an absolute numeric value during the operation. It is an expression of overall, cumulated length of A-trains in a given channel; a high correlation between traintime as measured by real-time analysis and functional outcome immediately after the operation (Spearman correlation coefficient [ρ] = 0.664, P < .001) and in long-term outcome (ρ = 0.631, P < .001) was observed. CONCLUSION Automated real-time analysis of the intraoperative facial nerve electromyogram is the first technique capable of reliable continuous real-time monitoring. It can critically contribute to the estimation of functional outcome during the course of the operative procedure.

scholarly journals Monitoring and Predictive Estimations of Atmospheric Parameters in the Catchment Area of Lake Baikal

Atmosphere ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 49
Author(s):  
Nikolay V. Abasov ◽  
Viacheslav M. Nikitin ◽  
Tamara V. Berezhnykh ◽  
Evgeny N. Osipchuk
Keyword(s):  
Real Time ◽  
Lake Baikal ◽  
Catchment Area ◽  
Methodological Approach ◽  
Distributed Data ◽  
Atmospheric Parameters ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Point Data

The paper is concerned with a methodological approach to monitoring the state of atmospheric parameters in the catchment area of Lake Baikal, including real-time analysis of actual distributed data with the determination of analog years according to the preset proximity of comparative indicators and the most probable long-term predictive distributions of surface temperatures, precipitation, pressure, and geopotential with a lead time of up to 9–12 months. We have developed the information-analytical system GeoGIPSAR to conduct the real-time analysis of spatial and point data by various processing methods and obtain long-term prognostic estimates of water inflow into the lake.

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