Paper Info
Title
Drug Investigation Tool: Identifying The Effect Of Drug On Cell Image By Using Improved Correlation
Abstract
In the treatment of human cancer, the existing drug response identification and assessment methods have some issues, such as high cost, slow processing, and low accuracy. Responsive methods that easily and indirectly assess patient tissue response to drugs or small molecules offer promising options for improving drug safety, and they are able to identify the right treatment for specific patients. Digital image correlation is a good technique that detects a part of the image between two images. In this article, a new method of correlation called significant improvement of correlation (SIC) was proposed. Data were taken from the confocal microscopy of two-photon excited fluorescence (TPEF) probe images taken every 5 min for short-term monitoring (STM) and long-term monitoring (LTM; 12, 24, and 48 hours). Cells were cultured, and a new compound TPEF was tested and injected the drug. The effect of drug on the TPEF compound was assessed through correlation. Experimental and simulation results showed that the proposed SIC was better than the conventional correlation method. Results also revealed that the first three images had 0.8% correlation in STM and LTM Image15 and Image10 had 0.49% correlation. The other images demonstrated minimum correlation. Thus, the effect of the newly made drug on the cell and image had a minimum correlation.
Year
DOI
Venue
2021
10.1002/spe.2903
SOFTWARE-PRACTICE & EXPERIENCE
Keywords
DocType
Volume
drug investigation tool, image correlation, long-term monitoring, short-term monitoring, significant improvement of correlation, two-photon excited florescence
Journal
51
Issue
ISSN
Citations 
2
0038-0644
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Muhammad Aamir Iqbal155.20
Iftikhar Ahmad215627.06
Muhammad Asif314844.17
Sunhee Kim43410.26
Raja Majid Mehmood532.55