Description
Book SynopsisTable of ContentsPreface…
Table of Contents…
Contributing Authors…
1. Real-Time Microfluidic PCRs: A High-Throughput Method to Detect 48 or 96 Tick-Borne Pathogens in 48 or 96 Samples
Sara Moutailler and Clemence Galon
2. Direct Detection of Borrelia Species in Tissues
Shiva Kumar Goud Gadila and Monica E. Embers
3. Purification of Borrelia burgdorferi Outer Membrane Vesicles
Hanna Tammisto and Kati Karvonen
4. Constructing an ELISA for Detection of Anti-Borrelia in Wildlife and Agricultural Animals
Julia Bland, Caitlin McGowan, Emma Bush, and Vett Lloyd
5. A Step-by-Step Guide to Selecting an Optimal Cut-Off Value Based on the Receiver Operating Characteristic and Youden Index in Methods Designed to Diagnose Lyme Disease
Kunal Garg and Sara Campolonghi
6. Adaptive Immune Response Investigation in Lyme borreliosis
Mihail Pruteanu, Armin Schwarzbach, and Markus Berger
7. CYTOSPOT: Intracellular Staining and Detection of Cytokines by Flow Cytometer, An Alternative to LYMESPOT
Luis Calderilla-Barbosa and Jose Luis Flores-Sevilla
8. Use of Specific Borrelia Phages as a New Strategy for Improved Diagnostic Tests
Jinyu Shan, Ying Jia, and Tatjana Mijatovic
9. Identification of Unambiguous Borrelia Peptides in Human Urine Using Affinity Capture and Mass Spectrometry
Rocio Cornero, Sumaiya Safia Irfan, Silvia Cachaco, Weidong Zhou, Ahana Byne, Marissa Howard, Hope McIntyre, Barbara Birkaya, Lance Liotta, and Alessandra Luchini
10. Preparation of Borrelia Infected Mammalian Cells for Helium Ion Microscopy
Kati Karvonen
11. Establishing a Zebrafish Model for Borrelia Burgdorferi Infection Using Immersion and Microinjection Methods
Erica Misner, Min Zhang, and Eva Sapi
12. Development of Organoids to Study Infectious Host Interactions
Aparajita Lahree and Leona Gilbert
13. Content Analysis: An Approach to Exploring the Depiction of Tick-Borne Diseases
Stephen M. Croucher
14. Applying BERT and ChatGPT for Sentiment Analysis of Lyme Disease in Scientific Literature
Teo Susnjak
15. Building a Binary Classification Machine Learning Model: A Guide to Predicting Participation in a Lyme Disease Program at a Medical Institute
Kunal Garg, Liria Mitzuko Fajardo-Yamamoto, Flor Cecilia Rojas-Castro, Teo Susnjak, and Leona Gilbert
16. Clinical Algorithm and Diagnostic Tools for Lyme Disease
Gisell García-Bretón, Flor C. Rojas-Castro, Astrid N. Espino-Vázquez, and Liria M. Fajardo-Yamamoto
17. Establishing a Pregnancy Lyme Disease Biobank
Stanley J. Naides
18. Developing a Prospective Gestational Lyme Disease Study
Graham McLennan, Suzanne E. Dale, Laura Gillim, Vivian Weinblatt, Robert Wallerstein, and Stanley J. Naides
Subject Index List…
