Restoration of Transmembrane Potential Using Morphological Operators and Adaptive Alpha-Trimmed Mean Filtering.

Transmembrane potential (Vm) recordings not from isolated cells may be dominated by different types of noise, and the filtering algorithms usually applied for noise suppression of Vm recordings often result in a signal of poor SNR (signal to noise ratio). Conventional filtering algorithms resulted in flattening of Vm deflections and unacceptable time delay. We solved this problem using morphological operators and adaptive alpha-trimmed mean filtering (OMATF) to restore corrupted signal. We applied several filtering approaches in intracellular recordings of T4 (L-thyroxine) hyperpolarization in Sertoli cells, from immature rat tests. The intracellular recording of the Sertoli cells commenced using 2.5 M KCl filled micropipetteds in conjunction with an electrometer, the Vm was amplified by direct current (DC). The amplified signal was displayed and recorded on a digital oscilloscope, the Vm was measured and directly in an intervals of 5 seconds using the electrometer. The aim of the present work was to compare the result of filtering the Vm with: OMATF; Moving Average; Morphological operators alone. [ABSTRACT FROM AUTHOR]