Affiliation:
1. Career Advancement Solutions
2. CSIR-Indian Institute of Chemical Biology
Abstract
Many information of biological study as stained cells analysis under microscope cannot be obtained rich information like detail morphology, shape, size, proper intensity etc. but image analysis software can easily be detected all these parameters within short duration. The cells types can be yeast cells to mammalian cells. An attempt has been made to detect cellular abnormalities from an image of metronidazole (MTZ) treated compared to control images of peripheral erythrocytes of fish by using non-commercial, open-source, CellProfiler (CP) image analysis software (Ver. 2.1.0). The comparative results were obtained after analysis the software. In conclusion, this image based screening of Giemsa stained fish erythrocytes can be a suitable tool in biological research for primary toxicity prediction at DNA level alongwith cellular phenotypes. Moreover, still suggestions are needed in relation to accuracy of present analysis for Giemsa stained fish erythrocytes because previous works have been carried out images of cells with fluorescence dye.
Reference39 articles.
1. J. T. Isaacs, W.B. Isaacs, W.F.J. Feitz, J. Scheres, Establishment and characterization of seven dunning rat prostatic cancer cell lines and their use in developing methods for predicting metastatic abilities of prostatic cancers, Prostate 9 (1986).
2. K.A. Giuliano, R.L. DeBiasio, R.T. Dunlay, A. Gough, J.M. Volosky, J. Zock, G.N. Pavlakis, D.L. Taylor, High-content screening: a new approach to easing key bottlenecks in the drug discovery process, J. Biomol. Screen. 2 (1997) 249-259.
3. B.M. Rothen-Rutishauser, S. Schurch, B. Haenni, N. Kapp, P. Gehr, Interaction of fine particles and nanoparticles with red blood cells visualized with advanced microscopic techniques, Environ. Sci. Technol. 40 (2006) 4353-4359.
4. K. Tomankova, H. Kolarova, M. Vujtek, H. Zapletalova, Study of cancer cells used atomic force microscopy. Modern Research and Educational Topics in Microscopy. A. Méndez-Vilas, and J. Díaz, (Eds. ). Formatex (2007) pp.23-28.
5. C. Wahlby, I.M. Sintorn, F. Erlandsson, G. Borgefors, E. Bengtsson, Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections, J. Microsc. 215 (2004) 67-76.