Label Free Tracking - Histology

What is Label Free Tracking?

Label free tracking is a technique used in histology to monitor cells and tissues without the need for external labels or dyes. This method leverages the inherent properties of the biological specimens, such as their refractive index, to generate contrast and visualize structures.

How Does Label Free Tracking Work?

Label free tracking employs various advanced imaging modalities. Some of the popular methods include phase contrast microscopy, differential interference contrast (DIC) microscopy, and quantitative phase imaging (QPI). These techniques exploit differences in the optical path lengths caused by variations in the refractive index of the sample to produce high-contrast images.

Why is Label Free Tracking Important in Histology?

Label free tracking is crucial in histology for several reasons:

Non-invasive: Unlike traditional methods that may require toxic or photobleaching-prone dyes, label free tracking is non-destructive and non-invasive.
Real-time monitoring: It allows for real-time tracking of dynamic processes within living tissues.
Preservation of sample integrity: Since no external agents are introduced, the natural state of the sample is preserved.

What Are the Applications of Label Free Tracking in Histology?

Label free tracking has a wide range of applications in histology, including:

Cancer research: Helps in understanding tumor progression and metastasis by observing cancer cell behavior.
Neuroscience: Facilitates the study of neuronal activities and brain tissue without altering the tissue's properties.
Regenerative medicine: Aids in monitoring cell growth and differentiation in tissue engineering.

What Are the Challenges Associated with Label Free Tracking?

Despite its advantages, label free tracking comes with its own set of challenges:

Complex data interpretation: The images generated can be complex and require advanced algorithms for accurate interpretation.
Equipment cost: High-resolution and specialized imaging systems can be expensive.
Technical expertise: Requires specialized knowledge to operate and interpret the results effectively.

What is the Future of Label Free Tracking in Histology?

The future of label free tracking in histology looks promising with ongoing advancements in imaging technologies and computational methods. Emerging techniques like machine learning and artificial intelligence (AI) are expected to enhance the accuracy and efficiency of data analysis, making label free tracking even more accessible and valuable in histological studies.

Relevant Publications

Digital in-line holographic microscopy for label-free identification and tracking of biological cells.

Issue Release: 2024

Multispectral label-free cellular imaging of human retinal pigment epithelium using adaptive optics fluorescence lifetime ophthalmoscopy improves feasibility for low emission analysis and increases sensitivity for detecting changes with age and eccentricity.

Issue Release: 2024

Segmentation and Multi-Timepoint Tracking of 3D Cancer Organoids from Optical Coherence Tomography Images Using Deep Neural Networks.

Issue Release: 2024

Label-Free Imaging of Mesenchymal Stem Cell Spheroid Differentiation with Flexible-Probe SECM and a Microfluidic Device.

Issue Release: 2024

Mesenchymal stromal cell-derived exosomes protect against abdominal aortic aneurysm formation through CD74 modulation of macrophage polarization in mice.

Issue Release: 2024

Exploring the Immunomodulatory Potential of Pancreatic Cancer-Derived Extracellular Vesicles through Proteomic and Functional Analyses.

Issue Release: 2024

Label-free tracking of cytochrome C oxidation state in live cells by resonance Raman imaging.

Issue Release: 2024

Quantitative assessment and monitoring of microplastics and nanoplastics distributions and lipid metabolism in live zebrafish using hyperspectral stimulated Raman scattering microscopy.

Issue Release: 2024

Application of Digital Holographic Imaging to Monitor Real-Time Cardiomyocyte Hypertrophy Dynamics in Response to Norepinephrine Stimulation.

Issue Release: 2024

Automated Cell Lineage Reconstruction using Label-Free 4D Microscopy.

Issue Release: 2024

Simultaneous Two- and Three-Photon Deep Imaging of Autofluorescence in Bacterial Communities.

Issue Release: 2024

Multiplex electrochemical sensing platforms for the detection of breast cancer biomarkers.

Issue Release: 2024

SiamFDA: feature dynamic activation siamese network for visual tracking.

Issue Release: 2024

Quantification of cell shape, intracellular flows and transport based on DIC object detection and tracking.

Issue Release: 2024

Acoustic Levitation Synthesis of Ultrahigh-density Spherical Nucleic Acid Architectures for Specific SERS Analysis.

Issue Release: 2024

Label-Free Light Scattering Imaging with Purified Brownian Motion Differentiates Small Extracellular Vesicles in Cell Microenvironments.

Issue Release: 2024

Long-Term Intracellular Tracking of Label-Free Nanoparticles in Live Cells and Tissues with Confocal Microscopy.

Issue Release: 2024

Introducing : Fast user-friendly software for machine- and human-readable labels in agricultural research and development.

Issue Release: 2024

Automated Cell Lineage Reconstruction using Label-Free 4D Microscopy.

Issue Release: 2024

Label free tracking to quantify nanoparticle diffusion through biological media.

Issue Release: 2024

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