Shubhita Tripathi

Founder-in-Residence at Entrepreneur First

📚 Assistant Professor | Ahmedabad, Gujarat, India

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Scholar9 ID | S9-032024-3001037

Entrepreneur First

National university of Singapore (NUS) Kent Ridge Hall

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👤 About

I am deeply passionate about innovating new solutions to existing challenges in healthcare. I have over 10 years of experience working closely with human disease causing pathogens and have spent most part of the decade building improved, more efficacious diagnostic assays. I love to strategise & develop innovative solutions esp. at the interdisciplinary realms. If you catch me outside of work, I am either busy fulfilling my burgeoning travel bucket-list or seasoning or improving an old recipe. I absolutely love meeting new people over a cup of coffee. Feel free to reach out at shubh.silk89@gmail.com

Skills & Expertise

Market Research Microfluidics Financial Modeling Product Development Entrepreneurship Data Analytics Medical Microbiology Cell Culture

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Cell Biology Biosensors Molecular biology Entrepreneur Strategy & Innovation

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💼 Experience

Founder-in-Residence

Entrepreneur First · July 2019 - March 2024

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Founder in residence

Hax USA · November 2019 - March 2024

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Co-Founder & CEO

Sepsitron · November 2019 - March 2024

Co-Founder & Chief Executive OfficerCo-Founder & Chief Executive Officer Sepsitron · Full-timeSepsitron · Full-time Nov 2019 - Present · 4 yrs 5 mosNov 2019 - Present · 4 yrs 5 mos SingaporeSingapore Skills: Agile Methodologies · Business Model Canvas · Market Research · Microfluidics · Team Building · Financial Modeling

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Postdoctoral Research Fellow

Agency for Science, Technology and Research (A-STAR) · November 2018 - March 2019

Post-Doctoral Fellow (2018 –19) Singapore Immunology Network (SIgN), A*STAR, Biopolis, Singapore

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Research Assistant

Institute of Advanced Research & University for Innovation (IAR) · January 2014 - June 2014

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Research Assistant

ICMR- National Institute of Occupational Health (ICMR-NIOH) · September 2013 - December 2013

Research Assistant (2013) National Institute of Occupational Health (NIOH), Ahmedabad, Gujarat, India

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🎓 Education

National university of Singapore (NUS) Kent Ridge Hall

Ph. D. in Microbiology & Immunology · 2018

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University of Madras

M. Sc. in Medical Microbiology · 2013

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Chhatrapati Shahuji Maharaj University, Kanpur (CSJM University)

B. Sc. in Medical Microbiology · 2010

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🏅 Certificates & Licenses (1)

Responsible Care & Use of Laboratory Animals (RCULA)

Event: NUS · National University of Singapore · Issued on February 2015

National University of Singapore logo Trained in the Responsible Care and Use of Laboratory Animals (RCULA) course, NUS, Singapore

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🏆 Awards & Achievements (1)

🏆 Gold Medal (B.Sc.)

Awarded by: CSJMU, Kanpur || Year: 2010

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Professional Memberships (1)

National university of Singapore (NUS) Kent Ridge Hall

Member: Vice President || Join dt: 2016 - 2017

Country: Singapore

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📄 Peer-Reviewed Articles (69)

Proactive Critical Care: AI-Integrated Ventilator Monitoring for Predictive Intervention in the ICU

This article explores the transformative potential of artificial intelligence in intensive care unit settings, specifically focusing on AI-integrated ventilator monitoring for predictive intervention. The article explores how current ICU environments,...

✅ Accepted

Climate Vulnerability Assessment of Infrastructure Using Edge‑AI Integrated IoT Systems: A Survey

Climate change is amplifying extremes that directly threaten critical infrastructure. Timely, spatially resolved vulnerability assessment is indispensable for adaptation planning and operational resilience. Cloud‑first analytics alone struggle with bandwidth, latency,...

✅ Accepted

AI-Powered Automation of Cloud Database Management using Deep Reinforcement Learning and Digital Twins

With an emphasis on financial applications with extremely high performance requirements, this article explores the revolutionary combination of deep reinforcement learning and digital twin technologies for automating cloud database administration....

✅ Accepted

ACOUSTIC SIMULATION AND AI IN PRESERVING ANCIENT MUSICAL SPACES

Palatial, amphitheatrically, and temple musical sites must be preserved to conserve intangible cultural treasures, notably historical soundscapes. Ancient architects and musicians understood sound and designed structures around specific acoustic principles...

✅ Accepted

Generative AI for Product Development: From Ideation to Design and Testing

The integration of generative artificial intelligence into product development processes represents a fundamental paradigm shift from traditional human-driven methodologies to collaborative human-AI frameworks that transform every stage of the development...

✅ Accepted

Demystifying Business Intelligence (BI): A Comprehensive Guide

Business Intelligence (BI) has emerged as a fundamental component of modern business strategy, revolutionizing how organizations harness data for strategic decision-making. This comprehensive article explores the evolution of BI from...

✅ Accepted

Industrial Relations at Enterprise Level: A Case Study

Industrial relations in India have witnessed a long journey, from the phase of industrialisation to independence era to the age of economic reforms, but a lot needs to be addressed...

✅ Accepted

Personalized Learning Pathways: AI-Adaptive Educational Technology Supporting Diverse Learning Needs

This article explores the transformative potential of artificial intelligence in special education, addressing the persistent challenges faced by students with diverse learning needs. In the article of implementation studies across...

✅ Accepted

Real-Time Industrial Ecosystems: Advancing Predictive Maintenance and Smart Grid Optimization

This article examines the transformative impact of real-time industrial ecosystems on manufacturing and energy distribution sectors. By integrating Internet of Things (IoT) technologies, edge computing, and advanced analytics, these ecosystems...

✅ Accepted

Proven Patterns for Integrating Third-party Enrichments in Cloud-native Risk Scoring Engines

This article presents architectural patterns and implementation strategies for integrating third-party data enrichments into cloud-native risk scoring engines within the insurance technology domain. The transition to cloud-native architectures has fundamentally...

✅ Accepted

Leveraging Blockchain, Decentralized Identity (DID), and Social Integrations for Scalable, Trust-Centric Platforms: Composable Commerce in the Age of Web3

This article examines how composable commerce architectures converge with Web3 technologies to transform digital commerce. Blockchain technology establishes transparent transaction frameworks that enhance trust through cryptographic verification rather than institutional...

✅ Accepted

Technical Review Article: Self-Healing Lakehouse Manifests

Self-Healing Lakehouse Manifests represents a transformative advancement in data reliability engineering for modern enterprise architectures. This innovation addresses a critical gap in lakehouse platforms where underlying object store inconsistencies can...

✅ Accepted

Enhancing Media Workflows Through Human AI Collaboration: A Comprehensive Analysis

This article examines the transformative potential of human AI collaboration within media industry workflows. As digital platforms proliferate and consumer expectations evolve, media organizations face unprecedented challenges in content creation,...

✅ Accepted

Integrating Siebel Email Response for Enhanced Customer Communication Management

This article offers a detailed examination of Siebel Email Response as a unified solution for managing enterprise customer communications. It evaluates the system's technical architecture, protocol compatibility, workflow configuration features,...

✅ Accepted

Machine Learning and Generative AI for Data Valuation and Synthesis in Finance

This article explores the transformative role of machine learning and generative AI in financial data management, addressing the dual challenges of data valuation and privacy-preserving synthesis. As financial institutions confront...

✅ Accepted

Datacenter Consolidation and Cloud Enablement for Green IT Initiatives: Benefits for Social Factors

This scholarly article examines the social impacts of datacenter consolidation and cloud enablement within Green IT initiatives. Beyond environmental benefits, these technological transformations yield significant advantages across multiple domains. The...

✅ Accepted

Dual-Track Modernization: Architectural Strategies for Hybrid Cloud and On-Premise FinTech Platforms

Financial institutions increasingly navigate complex modernization journeys requiring simultaneous investment in cloud-native capabilities while maintaining critical on-premise systems. This architectural duality addresses fundamental challenges in the financial sector including data...

✅ Accepted

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✅ Accepted

AI in Mobile Banking: Ethical Challenges and Opportunities

The integration of artificial intelligence in mobile banking represents a significant evolution in the financial industry, transforming service delivery while presenting complex ethical considerations. Mobile banking platforms enhanced by AI...

✅ Accepted

Salesforce Data Cloud: A Paradigm Shift in Customer Data Management

This article examines the transformative impact of data cloud platforms on customer relationship management across modern enterprises. As organizations increasingly face challenges with fragmented data ecosystems and siloed information, advanced...

✅ Accepted

Blockchain-Based Intranet Banking Backup System for Emergency Cash Withdrawal During Network Outages

Modern banking systems are heavily dependent on internet connectivity, making them vulnerable during network outages caused by cyberattacks, natural disasters, or warfare. This paper proposes a novel intranet-based backup system...

✅ Accepted

CONTENT-BASED VIDEO SHOT BOUNDARY DETECTION USING CANNY EDGE FEATURES

Video Shot Boundary Detection (VSBD) is a vital preliminary step in content-based video analysis, enabling efficient indexing, retrieval, summarization, and editing workflows. This paper introduces a robust and computationally efficient...

✅ Accepted

Survey on Design of CIC Decimator and Interpolator in Wireless Receivers

The advancement in Wireless communications has always led to the need of multi rate signal processing. Multi-rate signal processing plays a pivotal role in the field of wireless communication due...

✅ Accepted

ECOLITERACY IN HIGHER EDUCATION: A SYSTEMATIC REVIEW OF CURRICULUM INTEGRATION AND PEDAGOGICAL STRATEGIES

In the present time, the United Nations’ Sustainable Development Goals (SDGs) are given much emphasis as a, “set of universal goals that meet the urgent environmental, political and economic challenges...

✅ Accepted

From Compliance to Innovation: Data Governance Strategies in the Medical Device Industry

Data governance in the medical device industry has evolved from a compliance necessity to a strategic innovation enabler. As devices become increasingly connected and data-intensive, manufacturers face dual pressures: stringent...

✅ Accepted

ASD-Pipeline: An Ensemble Machine Learning Framework Integrating Feature Selection, Behavioural Clustering, and Class Rebalancing for Accurate Autism Spectrum Disorder Prediction

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by a variety of behavioral and cognitive patterns. Early and precise detection is critical in enabling timely interventions. Conventional classification...

✅ Accepted

Scalable Data Partitioning and Shuffling Algorithms for Distributed Processing: A Review

Scalable data splitting and shuffle algorithms have emerged as crucial elements of effective data processing in distributed computing and big data. This article provides an in-depth analysis of the complex...

✅ Accepted

DEVELOPING A DATA-DRIVEN ARCHITECTURE FOR IMPLEMENTING AI-ENABLED DYNAMIC PRICING STRATEGIES IN THE AUTOMOTIVE INDUSTRY

In the Automotive Industry, dynamic pricing is used a lot to make the most money and hold off the competition. The Automotive industry is using AI to build a data-centric...

✅ Accepted

Enhancing CI/CD Automation in Containerized Environments through Intelligent Monitoring, Predictive Analytics, and Policy-Driven Deployment Frameworks

Continuous Integration and Continuous Deployment (CI/CD) automation has become central to modern software engineering, particularly in microservices and containerized environments, which emphasize agility, scalability, and consistency. However, ensuring that CI/CD...

✅ Accepted

Integrating DevSecOps into Large-Scale Cloud Migration Projects: Challenges, Strategies, and Emerging Best Practices for 2025

In the rapidly evolving digital landscape, large-scale cloud migration projects have become pivotal for organizations aiming to enhance scalability, agility, and cost-efficiency. However, these migrations introduce complex security challenges that...

✅ Accepted

A Comparative Study on AI/ML Optimization Strategies within DevOps Pipelines Deployed on Serverless Architectures in AWS Cloud Platforms

The application of Artificial Intelligence (AI) and Machine Learning (ML) in modern DevOps pipelines is a rapidly growing trend, with organizations seeking efficient, scalable, and cost-effective solutions to integrate AI/ML...

✅ Accepted

Evaluating the Impact of AWS-Based Cloud Technology on DevOps Efficiency and Scalability in AI-Powered Software Development Lifecycles

In the realm of software engineering, the convergence of cloud technologies with artificial intelligence (AI) and DevOps methodologies has emerged as a transformative force in redefining software development lifecycles. This...

✅ Accepted

Exploring the Integration of DevSecOps Practices in AI/ML-Driven Cloud Infrastructures Using AWS for Enhanced Security Automation

The convergence of DevSecOps, artificial intelligence/machine learning (AI/ML), and cloud technologies represents a transformative shift in software development and infrastructure management. This paper investigates the integration of DevSecOps principles into...

✅ Accepted

Internal and External Re-keying and the way forward

Side Channel Analysis are the security attacks due to the issues in the implementations. This attack bypasses the mathematical security provided by the cryptographic algorithms. These attacks are broadly categorized...

✅ Accepted

Entrepreneurial Orientation Among Diploma Students in Tiruchirappalli: Exploring Motivations, Institutional Support, and Employment Impact

Entrepreneurship as a source of employment in Tiruchirappalli District, Tamil Nadu: When small businesses act as a source of employment growth it would result in a decrease in the unemployment...

✅ Accepted

Examining The Study Habit of Single Parent Children and Their Academic Performance

Background: Single-parent households are increasingly common, and their impact on children's development has been a subject of extensive research. While single parents often face unique challenges, including financial strain and...

✅ Accepted

Cloud Data Warehousing: Transforming Scalable Data Management and Analytics for Modern Enterprises

Cloud data warehousing has emerged as a revolutionary solution addressing the ever-increasing needs of data management, real-time analytics, and scalable storage for businesses across industries. This research comprehensively investigates the...

✅ Accepted

Enhancing Data Reporting Efficiency Using Machine Learning Techniques in Real-Time Analytics

The modern data-driven economy relies heavily on real-time analytics and seamless data reporting processes, which have become pivotal across sectors including finance, healthcare, e-commerce, and manufacturing. Efficient data reporting not...

✅ Accepted

Advanced Data Management and Analytics in the Pharmaceutical Industry: Leveraging Machine Learning and Big Data for Enhanced Decision-Making

The pharmaceutical industry stands at the intersection of healthcare innovation and technological advancement, making efficient data management an imperative for accelerating drug discovery, regulatory compliance, supply chain optimization, and patient...

✅ Accepted

Data Management Strategies and Machine Learning Applications in the Indian Financial Industry: A Comprehensive Study

The effective management of data has emerged as a critical requirement in the modern financial industry, particularly in the Indian context where the sector experiences exponential data growth, regulatory complexities,...

✅ Accepted

A Model-Driven Application for Streamlining Organizational Processes Using Microsoft Power Apps: Workflow Automation and Data Flow Integration

This research looks into the design and realization of a model-driven application in Microsoft Power Apps for streamlining organizational processes. It brings together leave management, approval workflows, productivity tracking, task...

✅ Accepted

Automated Evaluation of Speaker Performance Using Machine Learning: A Multi-Modal Approach to Analyzing Audio and Video Features

In this paper, we propose a novel framework for evaluating the speaking quality of educators using machine learning techniques. Our approach integrates both audio and video data, leveraging key features...

✅ Accepted

Leveraging Artificial Intelligence Algorithms for Enhanced Malware Analysis: A Comprehensive Study

The escalation of sophisticated malware threats necessitates innovative solutions for their detection and neutralization. This paper discusses the role of Artificial Intelligence (AI) algorithms in the field of malware analysis,...

✅ Accepted

Review of AI driven Intrusion Detection System on Network based attacks

This review paper explores the integration of Artificial Intelligence (AI) in Intrusion Detection Systems (IDS), highlighting how AI enhances the effectiveness and efficiency of these systems. It covers the evolution...

✅ Accepted

Detection of Kidney Disease using Machine Learning & Data Science

Kidney disease identification with machine learning and data science is transforming patient consideration and early diagnosis by using predictive models to identify important risk factors and biomarkers. There are several...

✅ Accepted

Advances in Tomato Disease Detection: A Comprehensive Survey of Machine Learning and Deep Learning Approaches for Leaves and Fruits

Tomatoes contributed about 232 billion Indian rupees to the Indian economy in the financial year 2020; it is next to potatoes in vegetable production in South Asian countries. Tomatoes are...

✅ Accepted

A Comparative Study of Classification Algorithms for Enhanced Lung Cancer Prediction Using Deep Learning and SOM-Based Microscopic Image Analysis

Lung cancer is one of the top causes of cancer-related fatalities worldwide, necessitating the development of efficient early detection techniques. This study explores a hybrid approach combining deep learning and...

✅ Accepted

Improving Brain Cancer Detection with a CNN-RNN Hybrid Model: A Spatial-Temporal Approach

Accurate and early detection of brain cancer is critical for improving treatment outcomes and patient survival. However, traditional diagnostic methods relying on radiological interpretation often lead to variable accuracy and...

✅ Accepted

Predicting Titanic Survivors Using Random Forest Machine Learning Algorithm

The ship wreck of the RMS Titanic is still remembered as a well-known tragedy that took many lives. Using passenger data to predict who would survive this disaster presents an...

✅ Accepted

AI Anthropomorphism: Effects on AI-Human and Human-Human Interactions

Objective: Anthropomorphism is the act of assigning distinctive human-like traits, feelings, and behavioral characteristics to non-human entities. The phenomenon known as artificial intelligence (AI) anthropomorphism involves imputing human-like behavioral characteristics...

✅ Accepted

Real-Time Object Detection in Low-Light Environments using YOLOv8: A Case Study with a Custom Dataset

Object detection in low-light conditions presents significant challenges due to the reduced visibility and poor illumination, particularly in real-time applications. This paper proposes a novel approach using the YOLOv8 model...

✅ Accepted

A Comparative Study of Fuzzy Goal Programming And Chance Constrained Fuzzy Goal Programming

This work is a comparative study of the traditional fuzzy goal programming model and the chance constrained fuzzy goal programming model. The right-hand side coefficient of the constraint matrix is...

✅ Accepted

Advanced Machine Learning Techniques for Water Quality Prediction and Management: A Comprehensive Review

The incorporation of IoT, machine learning, and geospatial technologies has rapidized pace in data-driven approaches in water quality monitoring. The approach calls for data-driven methods in water quality assessment that...

✅ Accepted

INTEGRATING ARTIFICIAL INTELLIGENCE INTO CYBERCRIME INVESTIGATION: CHALLENGES AND FUTURE DIRECTIONS

Computer and social networking whereby criminals use the Internet to propagate criminal activities are some of the major challenges faced by existing policing strategies. Modern-day crimes include hacking into computer...

✅ Accepted

VIDEO TO VIDEO TRANSLATION USING MBART MODEL

There are many languages are spoken in India due to different diversities and different regions,so it is difficult to understand the global languages such as English ,Spanish ,French ,German. so...

✅ Accepted

Quantum-Enhanced Machine Learning for Real-Time Ad Serving

This paper presents a groundbreaking approach to addressing the growing computational challenges in real-time ad serving by leveraging quantum computing to accelerate machine learning (ML) algorithms. We propose a hybrid...

✅ Accepted

Voice Assistant System with Object Detection Technology for Visually Impaired

Navigation, object recognition, obstacle avoidance, and reading provide substantial obstacles for visually impaired people, impeding their independence and day-to-day functioning. Current solutions, including standard voice assistants and white canes, either...

✅ Accepted

Deep Fakes and Deep Learning: An Overview of Generation Techniques and Detection Approaches

The rapid evolution of deep learning has fueled the rise of deep fakes, artificially generated media that can convincingly mimic real human faces, voices, and actions. These fabricated images, videos,...

✅ Accepted

Blockchain in Cybersecurity: Enhancing Trust and Resilience in the Digital Age

Blockchain technology has emerged as a transformative tool in the field of cybersecurity, offering a decentralized, immutable, and transparent framework to enhance trust and resilience in digital systems. This review...

✅ Accepted

Face Recognition : Diversified

This paper presents a novel lightweight hybrid architecture for face recognition, combining the strengths of MobileNet and attention mechanisms to enhance performance under challenging conditions such as facial occlusions (e.g.,...

✅ Accepted

Harnessing Deep Learning for Precision Cotton Disease Detection: A Comprehensive Review

Cotton cultivation plays a critical role in global agriculture, yet its productivity is significantly hindered by various plant diseases that impact yield and quality. Conventional disease detection methods often fall...

✅ Accepted

Detecting Fake Reviews in E-Commerce: A Deep Learning-Based Review

E-commerce platforms are increasingly vulnerable to fake reviews, which can distort product ratings and mislead consumers. Detecting these fraudulent reviews is critical to maintaining trust and transparency in online marketplaces....

✅ Accepted

Deep Learning for Polymer Classification: Automating Categorization of Peptides, Plastics, and Oligosaccharides

Polymers represent a diverse and vital class of materials across numerous industries, each with unique structural characteristics and functional properties. Traditional methods of polymer classification rely heavily on labor-intensive techniques...

✅ Accepted

Design of 4-bit ALU for low-power and High-speed Applications.

This paper presents a novel design and optimization of a 4-bit Arithmetic Logic Unit (ALU) utilizing 90nm CMOS technology, specifically addressing the longstanding carry-out issue prevalent in existing architectures. Notably,...

✅ Accepted

The Power of AI and Machine Learning in Cybersecurity: Innovations and Challenges

Networks and sensitive data are no longer adequately protected by traditional security methods due to the ongoing evolution and sophistication of cyber-attacks. Cybersecurity can be enhanced with the exploitation of...

✅ Accepted

Blockchain using Virtual TRY-ON

In today’s dynamic retail environment, the shift towards online shopping necessitates innovative solutions that enhance customer engagement and satisfaction. This project introduces a virtual try-on clothing platform designed to revolutionize...

✅ Accepted

DESIGN AND IMPLEMENTATION OF Wi-Fi DEAUTHENTICATION SYSTEM USING NODEMCU ESP8266

Network security is seriously threatened by Wi-Fi de-authentication attacks, which frequently lead to data interception, illegal access, and service interruption. The mechanics and ramifications of these assaults are explored in...

✅ Accepted

COMPARATIVE ANALYSIS OF REVERSE IMAGE SEARCH ENGINES USING DIVERSE IMAGE SETS

Eight well-known reverse image search engines—Google, Bing, TinEye, Yandex, Baidu, Getty Images, Shutterstock, and Alamy—are compared in this study based on several different factors. Language support, speed, accuracy, facial recognition,...

✅ Accepted

A METHOD FOR ENDPOINT AWARE INSPECTION IN A NETWORK SECURITY SOLUTION

Due to the flood in remote work after the episode of Covid, network security has gained a giant fixation. The issue of mixed-up audit decisions in network security plans has...

✅ Accepted

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📚 Publications (2)

TLR7 Protein Expression in Mild and Severe Lupus-Prone Models Is Regulated in a Leukocyte, Genetic, and IRAK4 Dependent Manner

Journal: Frontiers in Immunology • July 2019

The global increase in autoimmunity, together with the emerging autoimmune-related side effects of cancer immunotherapy, have furthered a need for understanding of immune tolerance and activation. Sys...

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A Flow Cytometry-Based Assay for High-Throughput Detection and Quantification of Neutrophil Extracellular Traps in Mixed Cell Populations

Journal: Cytometry Part A – the Journal of Quantitative Cell Science • December 2018

Neutrophil extracellular traps (NETs) are web-like structures composed of decondensed chromatin and antimicrobial proteins that are released into the extracellular space during microbial infections. T...

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