Impedance Cytometry for Detection of Particle and Counting using Low Phase Noise DDFS – LUT
G. Ramana Reddy1, P. Chitra2, K. Prakash3

1Prakash Kodali, Department of ECE, National Institute of Technology, Warangal, India.
2G. Ramana Reddy, Research Scholar, Department of ECE, Sathyabama Institute of Science and Technology, Chennai, India.
3P. Chitra, Professor, Department of ECE, Sathyabama Institute of Science and Technology, Chennai, India.
Manuscript received on May 16, 2020. | Revised Manuscript received on May 30, 2020. | Manuscript published on June 10, 2020. | PP: 847-850 | Volume-9 Issue-8, June 2020. | Retrieval Number: H6807069820/2020©BEIESP | DOI: 10.35940/ijitee.H6807.069820
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Abstract: The biotechnology is widely growing with many technologies, still we see a large gap in real-time implementation of complete blood counting. To increase the resolution and accuracy of the measurements advanced communication DDFS can be used. The elements in Direct Digital Frequency Synthesizers (DDFS) involved are: phase accumulator, a phase to amplitude converter which also called look up table (LUT), a digital to analog converter along with active filter. Direct digital frequency synthesis is a method for generating complex high – frequency waveforms for specific applications. This DDFS generates frequency resolution which makes it ideal components use in radar system, software defined radio, modern wireless communicating system, advanced satellite navigation purpose. Use cases for high frequency we get interrupt with spurious noise, larger ROM size, and high power consumption of DDFS signal. In this paper we are proposing the use of signal generated from DDFS to impedance cytometry in which the number of particles gets detected by getting the output frequency different from the input frequency. Due to use of small frequency range of signal spurious noise, power consumption and ROM size will be less with effective performance. 
Keywords: Direct Digital Frequency Synthesizers (DDFS), Digital to Analog Convertor (DAC), Read Only Memory (ROM), Flow Cytometry, Cell analysis and Signal Conditioning.
Scope of the Article: Frequency Selective Surface