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Azaad Instrumentral A.

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12 views12 pages

Azaad Instrumentral A.

Uploaded by

Kazuma Kun
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Faculty of Pharmaceutical Sciences

PCTE Group of Institutes


Ludhiana

B. Pharmacy (4th Year)


INSTRUMENTAL METHODS OF ANALYSIS (BP-701T)
PRESENTATION SYNOPSIS

TOPIC: Fourier Transform Infrared Imaging for Cancer


Diagnostics: Applications in Biomedical Research
NAME: Azaad Kumar
ROLL NO.: 2122952
E-MAIL ADDRESS: azaadkumarpctebpharma2021a@gmail.com
SUBMITTED TO: Ms. Jashanpreet Kaur
Assistant Professor
CONTENTS -

●Introduction

●Basics of Fourier Transform Infrared (FTIR) Imaging

●Applications of FTIR Imaging in Cancer Diagnostics and


Biomedical research

●Case Studies and Examples


●Future Prospects in Biomedical Research

●References

⮚ INTRODUCTION -

❖ Cancer diagnostics is crucial in oncology, aiming to accurately

detect and stage cancer to guide treatment. Traditional methods


include:

● Histopathology: Microscopic tissue examination, the gold standard

for diagnosis.

● Imaging Techniques: X-rays, MRI, and CT scans visualize tumors

non-invasively.

● Biomarker Testing: Detects cancer-specific proteins or genes in

bodily fluids.

● Molecular Diagnostics: Identifies genetic mutations through PCR

and next-generation sequencing.


❖ These methods, while effective, have limitations such as

invasiveness, extensive preparation, and occasional lack of


specificity.

❖ Importance of Advanced Imaging Techniques

● Advanced imaging techniques enhance diagnostic accuracy and

efficiency by offering:

● Non-Invasiveness: Reducing the need for biopsies, minimizing

patient discomfort.

● High Resolution: Detecting tumors at early stages with detailed

imaging.

● Functional and Molecular Insights: Providing metabolic and

molecular data for better understanding tumor behavior.

● Real-Time Monitoring: Allowing continuous assessment of tumor

progression and treatment response.

❖ Fourier Transform Infrared (FTIR) Imaging is a cutting-edge tool

that analyzes biochemical changes in tissues without dyes or labels,


offering early detection and detailed cancer characterization. The
following sections will delve into the principles, applications, and
future potential of FTIR imaging in cancer diagnostics.

⮚ Basics of Fourier Transform Infrared (FTIR) Imaging

❖ Principle of FTIR Spectroscopy

● Fourier Transform Infrared (FTIR) Spectroscopy is a technique

that measures how a material absorbs infrared light. Molecules


absorb specific frequencies of infrared light, causing vibrations in
their chemical bonds. By analyzing the absorbed wavelengths,
FTIR spectroscopy identifies the molecular composition of a
sample. The data is transformed into a spectrum that serves as a
molecular "fingerprint" of the material.

❖ How FTIR Imaging Works


● FTIR imaging combines the principles of infrared spectroscopy

with spatial resolution, allowing for the creation of detailed images


based on the chemical composition of a sample. Here’s how it
works:

● Sample Illumination: The sample is illuminated with a broad

spectrum of infrared light.

● Data Collection: A detector captures the light that is either

absorbed or transmitted by the sample. This is done across multiple


points, creating a detailed map of the sample's chemical
composition.

● Fourier Transform: The raw data collected is processed using a

mathematical technique called Fourier Transform, which converts


the complex data into a readable spectrum for each pixel of the
image.

● Image Construction: Each pixel in the image corresponds to a

specific location on the sample and contains spectral information.


The result is a chemically-specific image that reveals the
distribution of different molecules across the sample.

❖ Advantages of FTIR over Traditional Imaging Techniques


● FTIR imaging offers several advantages over traditional imaging

techniques:

● Chemical Specificity: FTIR provides detailed chemical

information, enabling the identification of specific molecules in a


sample without the need for dyes or labels.

● Non-Destructive: The technique is non-destructive, meaning the

sample remains intact after analysis, which is crucial for precious


or rare samples.

● Wide Applicability: FTIR imaging can be applied to a variety of

samples, including biological tissues, making it highly versatile in


biomedical research.

● Spatial and Molecular Insight: It combines spatial resolution

with molecular analysis, allowing researchers to see not only where


molecules are located but also their exact chemical makeup.

● Early Detection: FTIR can detect subtle biochemical changes in

tissues, potentially identifying cancer at earlier stages than


traditional imaging methods.
⮚ Applications of FTIR Imaging in Cancer Diagnostics –

❖ FTIR imaging has a range of applications in cancer diagnostics,

offering precise molecular insights that enhance traditional


diagnostic methods. Here are some key applications:

● Differentiation Between Cancerous and Non-Cancerous Tissues

● Identification of Cancer Subtypes

● Determining Tumor Margins

● Monitoring Treatment Efficacy

● Detection of Metastasis

● Personalized Medicine
● Biomarker Discovery

● Histopathology Augmentation

❖Applications of FTIR imaging in biomedical research:

●Cellular and Tissue Analysis

●Disease Mechanism Studies

●Drug Development and Screening

●Biomarker Discovery

●Cancer Research

●Neurodegenerative Disease Research

●Tissue Engineering

●Microbial Analysis
⮚ Case Studies and Examples

❖ Breast Cancer Diagnostics

● Application: FTIR imaging has been used to differentiate

between benign and malignant breast tissues, as well as to


identify specific subtypes of breast cancer based on their unique
molecular signatures.

❖ Prostate Cancer Detection

● Application: FTIR imaging has demonstrated effectiveness in

distinguishing between healthy prostate tissue, benign prostatic


hyperplasia, and prostate cancer, aiding in more accurate
diagnoses.

❖ Colon Cancer

●Application: Studies have utilized FTIR imaging to identify and


classify different stages of colon cancer, helping in the early
detection and treatment planning for patients.

❖ Lung Cancer Analysis


● Application: FTIR imaging has been applied to lung tissue

samples to differentiate between various types of lung cancer


and to monitor biochemical changes in response to treatment.

❖ Brain Tumor Characterization

●Application: FTIR imaging has been used to assess brain tumors,


distinguishing between different grades of gliomas and helping
to define tumor margins more accurately during surgery.

❖ Ovarian Cancer Screening

● Application: FTIR imaging has been explored as a tool for early

detection of ovarian cancer, identifying specific spectral patterns


that are associated with malignant ovarian tissues.

❖ Skin Cancer Evaluation

●Application: FTIR imaging has been applied to skin biopsies to


distinguish between melanoma and non-melanoma skin cancers,
as well as to assess the effectiveness of treatments.

❖ Bladder Cancer Detection


●Application: FTIR imaging has shown promise in detecting
bladder cancer by analyzing urine samples for specific molecular
changes associated with the disease.

⮚ Technological Developments -

● Advances in FTIR Hardware


● Integration with Other Imaging Techniques
● Enhanced Resolution and Sensitivity
● Development of Portable FTIR Devices

⮚ Challenges and Limitations –

● Sensitivity and Specificity Concerns


● Data Interpretation Complexity
● High Cost and Accessibility Issues
● Sample Preparation and handling

⮚ Future Prospects in Biomedical Research

●Early Cancer Detection

●Personalized Medicine
●Improved Diagnostic Accuracy

●Integration with Artificial Intelligence

●Expansion to New Disease Areas

⮚ REFERENCES –

❖ A. Kumari, J. Kaur, S. Bhattacharyy (2018), Application of Fourier

Transform-Infrared Spectroscopy as a Tool for Early Cancer


Detection, 10(3),139-148

❖ D. McNaughton, B.R. Wood (2007), Applications of Fourier-


Transform Infrared Imaging in Cancer Research 74(3), 133–159

❖ K.Y. Su, W.L. Lee, Fourier Transform Infrared Spectroscopy as a

Cancer Screening and Diagnostic Tool: A Review and Prospects


74(3), 133–159

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