Imaging and Diagnostic Platform for Lung Cancer

Solutions

Online Inquiry

Name *

Email *

Phone *

Services Interested *

Project Description

Please note that we are not a pharmacy or clinic, so we are unable to see patients and do not offer diagnostic and treatment services for individuals.

Imaging Technology Diagnostic Tools Data Analysis Applications Advantages

In the preclinical development of lung cancer therapies, Alfa Cytology has developed the imaging and diagnostic platform, which integrates advanced imaging technology and precise diagnostic tools to monitor tumor growth, metastasis, and response to drugs in real-time and dynamically, providing intuitive and reliable experimental data support. Through high-resolution imaging, multimodal data integration, and artificial intelligence analysis, the imaging and diagnostic platform not only improves the accuracy and efficiency of experiments but also lays a solid foundation for a seamless transition from laboratory research to the clinic.

Imaging Technology

Imaging technology is a core tool in preclinical research of lung cancer, enabling non-invasive monitoring of tumor dynamics.

Animal CT (Computed Tomography) - For high-resolution three-dimensional imaging of tumors to assess changes in tumor volume, morphology, and density.
Animal MRI (Magnetic Resonance Imaging) - Provides high-contrast soft tissue imaging to study tumor microenvironment, angiogenesis, and necrotic areas.
Animal PET (Positron Emission Tomography) - To monitor the metabolic activity of the tumor through radioactive tracers (such as FDG) and evaluate the effect of the drug on tumor metabolism.
Optical imaging (Bioluminescence imaging and fluorescence imaging) - Real-time monitoring of tumor growth and metastasis using fluorescently labeled or bioluminescent tumor cells.
Ultrasound Imaging - For real-time monitoring of tumor volume and blood flow changes, suitable for the study of superficial tumors.

Quick Inquiry

Diagnostic Tools

Diagnostic tools are used for the early detection, classification, and efficacy evaluation of lung cancer, providing accurate data support for preclinical studies.

Liquid Biopsy - Non-invasive diagnosis and efficacy monitoring by detecting circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), and exosomes in the blood.
Molecular Diagnosis - Using PCR, qPCR, NGS, and other technologies to detect lung cancer-related gene mutations (EGFR, KRAS, ALK) and biomarkers.
Immunohistochemistry (IHC) - Protein expression in tumor tissues (such as PD-L1, Ki-67) is detected by specific antibodies for typing and efficacy evaluation.
Pathological Analysis - The histological features and pathological changes of the tumor are evaluated by tissue sections and staining, such as H&E staining.

Diagnostic Tools of Imaging and Diagnostic Platform

Quick Inquiry

Data Analysis and Visualization

The analysis and visualization of imaging and diagnostic data are an important part of the platform to help researchers better understand experimental results.

Image Processing and Analysis	Multimodal Data Integration	AI and Machine Learning
Use professional software to process and analyze imaging data and generate quantitative data, such as tumor volume and signal strength.	Integrating data from different imaging techniques (such as CT, MRI, PET) to provide more comprehensive tumor information.	Use Artificial Intelligence (AI) algorithms to automatically identify tumor areas, predict treatment effects, and generate diagnostic reports.

Application of Imaging and Diagnostic Platform

The imaging and diagnostic platform is widely used in the preclinical development of lung cancer therapy, covering the following.

Tumor Monitoring

Metastasis Research

Efficacy Evaluation

Early Diagnosis

Efficacy Prediction

Advantages

Imaging and diagnostic platforms play a crucial role in the preclinical development of lung cancer therapies, providing accurate data support for tumor monitoring, efficacy evaluation, and early diagnosis through advanced imaging techniques and diagnostic tools. The application of this platform can significantly accelerate the development of lung cancer therapies.

High sensitivity and resolution
Multimodal integration

Non-invasive
Data-driven

For research use only.