Sagarika Chowdhury

Bio: Sagarika Chowdhury is an academic researcher from Narula Institute of Technology. The author has contributed to research in topics: Biochip & Fault (power engineering). The author has an hindex of 3, co-authored 5 publications receiving 10 citations.

A Novel Double Fault Diagnosis and Detection Technique in Digital Microfluidic Biochips

Abstract: This paper presents a rigorous offline double fault diagnosis as well as a detection technique for Digital Microfluidic Biochips (DMFBs). Due to the underlying mixed technology biochips exhibit unique failure mechanisms and defects. Thus, offline and online test mechanisms are required to certify the dependability of the system. In this paper, the proposed algorithm detects double faults anywhere in the chip satisfying the dynamic fluidic constraints and improves the fault diagnosis time to an extent.

An Efficient Multiple Fault Detection Technique in Digital Microfluidic Biochips

Abstract: The involvement of Digital Microfluidic Biochips (DMFBs) in the field of disease detection, automated drug discovery, on-chip DNA (Deoxyribonucleic acid) analysis has become well-accepted d...

Multiple fault detection technique for digital microfluidic based biochip

Abstract: Faults in biochips degrades the performance of the biochips. This paper describes a new multiple fault detection technique for digital micro fluidic based biochips. The microfluidic based biochips are most important revolutionizing laboratory procedures use at a vast scale, e.g., bio sensing, clinical diagnostics etc. Due to mixed energy domains this micro fluidic based biochip exhibits unique failure mechanism and need to be error free to ensure system dependability. In this paper a new advance technique is presented to traverse all the cells and cell boundary in much more less time compared to some previous technique to detect multiple faults.

Single fault detection and diagnosis technique for digital micro -fluidic based biochips

Abstract: This paper presents an integrated offline testing of Single-Fault detection technique for themicro-fluidic based biochips and also diagnosis single defects in order to achieve higherthroughput and less time complexity of the execution process. In the field operation, this is to be used to increase chip dependability and reusability of the biochips. In this paper, a pipelined technique is presented to traverse all the edges in much more less time in comparison with some previous techniques.

Role of Digital Microfluidics in Enabling Access to Laboratory Automation and Making Biology Programmable

Abstract: Digital microfluidics (DMF) is a liquid handling technique that has been demonstrated to automate biological experimentation in a low-cost, rapid, and programmable manner This review discusses the role of DMF as a "digital bioconverter"-a tool to connect the digital aspects of the design-build-learn cycle with the physical execution of experiments Several applications are reviewed to demonstrate the utility of DMF as a digital bioconverter, namely, genetic engineering, sample preparation for sequencing and mass spectrometry, and enzyme-, immuno-, and cell-based screening assays These applications show that DMF has great potential in the role of a centralized execution platform in a fully integrated pipeline for the production of novel organisms and biomolecules In this paper, we discuss how the function of a DMF device within such a pipeline is highly dependent on integration with different sensing techniques and methodologies from machine learning and big data In addition to that, we examine how the capacity of DMF can in some cases be limited by known technical and operational challenges and how consolidated efforts in overcoming these challenges will be key to the development of DMF as a major enabling technology in the computer-aided biology framework

Field-Effect Flow Control for Microfabricated Fluidic Networks

Abstract: The magnitude and direction of the electro-osmotic flow (EOF) inside a microfabricated fluid channel can be controlled by a perpendicular electric field of 1.5 megavolts per centimeter generated by a voltage of only 50 volts. A microdevice called a "flowFET," with functionality comparable to that of a field-effect transistor (FET) in microelectronics, has been realized. Two flowFETs integrated with a channel junction have been used to generate opposite flows inside a single EOF-pumped channel, thus illustrating the potential of the flowFET as a controlling and switching element in microfluidic networks.

A Novel Double Fault Diagnosis and Detection Technique in Digital Microfluidic Biochips

Abstract: This paper presents a rigorous offline double fault diagnosis as well as a detection technique for Digital Microfluidic Biochips (DMFBs). Due to the underlying mixed technology biochips exhibit unique failure mechanisms and defects. Thus, offline and online test mechanisms are required to certify the dependability of the system. In this paper, the proposed algorithm detects double faults anywhere in the chip satisfying the dynamic fluidic constraints and improves the fault diagnosis time to an extent.

An Efficient Multiple Fault Detection Technique in Digital Microfluidic Biochips

Abstract: The involvement of Digital Microfluidic Biochips (DMFBs) in the field of disease detection, automated drug discovery, on-chip DNA (Deoxyribonucleic acid) analysis has become well-accepted d...