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Kyona Schacht, AG’25; Jose Rodriguez Sanchez, E'26; and Malika Zakarina, EG’1G
I looked into the fundamentals and applications of Photoacoustic Imaging (PAI), an emerging biomedical imaging technique that combines the high optical contrast of light-based imaging with the deep tissue penetration of ultrasound. This hybrid modality is increasingly valuable for non-invasive molecular imaging, with potential applications in cancer detection, vascular diagnostics, and tissue characterization.
The lab was divided into two components: MATLAB-based signal processing and experimental imaging using the Vevo LAZR system. In the computational module, I worked with raw radiofrequency (RF) data from both ultrasound and photoacoustic sources. Using digital signal processing techniques such as Fast Fourier Transforms, I analyzed the frequency characteristics of a 25 MHz transducer, while Hilbert transforms were applied to create envelope-detected images that mimic conventional B-mode ultrasound. This portion of the lab provided essential experience in signal interpretation and image reconstruction techniques crucial for biomedical imaging systems.
In the experimental portion, I conducted real-time imaging of tissue-mimicking phantoms containing indocyanine green (ICG) dye and hemoglobin. Spectral analysis confirmed strong photoacoustic signals from ICG near 800 nm, with maximum intensity achieved when the sample was aligned within both the optical and acoustic focal planes. I also observed photobleaching, as prolonged laser exposure led to a gradual decrease in ICG signal strength. Additionally, using multi-wavelength excitation and spectral unmixing, I was able to distinguish between oxygenated and deoxygenated hemoglobin, highlighting PAI’s ability to perform functional imaging based on blood oxygenation levels.
This project strengthened my technical skills in signal processing, imaging system operation, and data interpretation, while also deepening my appreciation for the interdisciplinary nature of biomedical engineering. It underscored the power of combining theory with hands-on experimentation to drive innovation in medical imaging technology.
Kyona Schacht, AG’25; Jose Rodriguez Sanchez, E'26; and Malika Zakarina, EG’1G
As part of a recent lab project, we explored the use of frequency-domain near-infrared spectroscopy (FD-NIRS) to characterize the optical properties of a diffuse optical phantom, simulating tissue-like scattering and absorption behavior. This work aimed to validate a multi-distance scanning configuration for accurately recovering absorption (μₐ) and reduced scattering (μ’s) coefficients across two near-infrared wavelengths (690 nm and 830 nm), relevant to biomedical optical imaging.
We implemented a linear slope method to retrieve optical properties by analyzing the amplitude (AC) and phase of diffuse reflectance measurements as a function of source-detector distance. These measurements were then linearized, and the resulting slope values were used to extract absolute optical properties. Absorption coefficients were found to be higher at 830 nm (μₐ ≈ 0.00110 mm⁻¹) compared to 690 nm (μₐ ≈ 0.00074 mm⁻¹), consistent with typical hemoglobin absorption behavior. Conversely, scattering coefficients were higher at 690 nm (μ’s ≈ 0.4914 mm⁻¹) than at 830 nm (μ’s ≈ 0.3529 mm⁻¹), reflecting expected wavelength-dependent tissue scattering trends.
All data analysis, modeling, and visualization were performed using custom MATLAB scripts, which processed raw measurement data to generate linear fits, extract optical parameters, and visualize diffuse reflectance. This workflow not only validated the FD-NIRS approach for optical property quantification but also provided hands-on experience in signal processing, light-tissue interaction modeling, and computational data analysis.
This project deepened my understanding of optical imaging physics, spectroscopy, and the practical application of computational tools for biomedical research. It demonstrates the potential of FD-NIRS as a non-invasive technique for probing tissue structure and function, with applications in medical diagnostics and tissue monitoring.
Kyona Schacht, AG’25; Jose Rodriguez Sanchez, E'26; and Malika Zakarina, EG’1G
Completed a research project for BME-0156: Biophotonics Laboratory at Tufts University under the supervision of Maria Savvidou, Ph.D., in collaboration with Kyona Schacht, EG’25, and Malika Zakarina, EG’1G. This study focused on a comparative analysis of confocal and two-photon microscopy for depth-resolved imaging of biological samples, including YG Invitrogen fluorescent beads, Convallaria rhizome, and Triple-Negative Breast Cancer (TNBC) cells embedded in a collagen matrix.
We investigated the lateral and axial resolution of confocal microscopy using 0.5 μm fluorescent beads and evaluated the impact of pinhole size on resolution. A 3D reconstruction of Convallaria tissue was performed to assess optical sectioning capability. Using two-photon microscopy, we analyzed the optical redox ratio of TNBC cells to assess metabolic activity, and compared it to confocal results. Additionally, we examined depth penetration using continuous wave (CW) and pulsed lasers by calculating Signal-to-Background Ratios (SBR).
Key findings showed that 1 Airy Unit (AU) provided the most accurate lateral resolution, while increasing imaging depth led to reduced contrast in plant tissue due to scattering and absorption. Contrary to expectations, two-photon imaging did not outperform confocal in deeper imaging under our experimental conditions.
Skills developed include advanced microscopy (confocal & two-photon), 3D image reconstruction, quantitative image analysis, optical resolution and SBR calculation, and data visualization using MATLAB. The project also enhanced abilities in scientific communication, technical collaboration, and experimental design in biomedical optics.
Kyona Schacht, AG’25; Jose Rodriguez Sanchez, E'26; and Malika Zakarina, EG’1G
This research laboratory paper was completed for BME-0156: Biophotonics Laboratory at Tufts University under the supervision of Maria Savvidou, Ph.D., and in collaboration with Kyona Schacht, AG’25, and Malika Zakarina, EG’1G. Our objective was to compare brightfield, phase contrast, and fluorescence microscopy in imaging biological samples, with a focus on assessing their respective advantages and limitations in contrast generation, resolution, and visualization.
We examined stained histology slides, live GFP+ and RFP+ cells, Convallaria rhizome, and 0.5 μm fluorescent beads. Brightfield microscopy provided strong contrast for stained samples but lacked effectiveness for unstained specimens. Phase contrast microscopy enhanced visualization of live, transparent cells by detecting refractive index differences, making it especially useful for imaging GFP+ and RFP+ cells. Fluorescence microscopy enabled specific imaging of cellular structures using targeted fluorophores, including DAPI for nuclei, GFP for protein fluorescence, and TRITC as a vascular or cell wall marker. However, interpreting composite fluorescence images required caution—overlapping signals sometimes obscured features, such as green fluorescence masking red emission in Figure 7f.
We also observed unexpected variations in bead size measurements at 40x magnification, likely due to focus-related limitations. Overall, our findings emphasize the trade-offs of each technique: brightfield excels with stained specimens, phase contrast enhances unstained cell visibility but can introduce halo artifacts, and fluorescence microscopy offers molecular specificity while requiring careful staining and attention to photobleaching and signal overlap. This project reinforced the importance of selecting the appropriate microscopy method based on the biological sample and research objective.