A5020121219- Optical Coherence Tomography Applications
- Advanced Fluorescence Microscopy Techniques
- Photoacoustic and Ultrasonic Imaging
- Spectroscopy Techniques in Biomedical and Chemical Research
- Cell Image Analysis Techniques
- Nanoplatforms for cancer theranostics
- Angiogenesis and VEGF in Cancer
- Extracellular vesicles in disease
- Advanced Biosensing Techniques and Applications
- Wound Healing and Treatments
- Characterization and Applications of Magnetic Nanoparticles
- Face recognition and analysis
- Photodynamic Therapy Research Studies
- 3D Printing in Biomedical Research
- Viral Infectious Diseases and Gene Expression in Insects
- Image Processing Techniques and Applications
- Ultra-Wideband Communications Technology
- Emotion and Mood Recognition
- Spam and Phishing Detection
- Optical Imaging and Spectroscopy Techniques
- Lipid Membrane Structure and Behavior
- Adipose Tissue and Metabolism
- Retinal and Macular Surgery
- Millimeter-Wave Propagation and Modeling
- Machine Learning and ELM
University of Illinois Urbana-Champaign
2016-2025
Singidunum University
2016-2025
National Institute of Biomedical Imaging and Bioengineering
2024-2025
University of Illinois System
2017-2024
Illinois College
2013-2022
University of Gothenburg
2021
Optica
2021
C4 Imaging (United States)
2021
University of Applied Health Sciences
2020
Bioengineering Center
2019
This paper presents a multimodal emotion recognition system, which is based on the analysis of audio and visual cues. From channel, Mel-Frequency Cepstral Coefficients, Filter Bank Energies prosodic features are extracted. For part, two strategies considered. First, facial landmarks' geometric relations, i.e., distances angles, computed. Second, we summarize each emotional video into reduced set key-frames, taught to visually discriminate between emotions. In order do so, convolutional...
Abstract Intravital microscopy (IVM) emerged and matured as a powerful tool for elucidating pathways in biological processes. Although label-free multiphoton IVM is attractive its non-perturbative nature, wide application has been hindered, mostly due to the limited contrast of each imaging modality challenge integrate them. Here we introduce simultaneous autofluorescence-multiharmonic (SLAM) microscopy, single-excitation source nonlinear platform that uses custom-designed excitation window...
Abstract Wide local excision (WLE) is a common surgical intervention for solid tumors such as those in melanoma, breast, pancreatic, and gastrointestinal cancer. However, adequate margin assessment during WLE remains significant challenge, resulting reinterventions to achieve control. Currently, no label-free imaging method available surgeons examine the resection bed vivo microscopic residual Optical coherence tomography (OCT) enables real-time high-resolution of tissue microstructure....
Dynamic magnetomotion of magnetic nanoparticles (MNPs) detected with magnetomotive optical coherence tomography (MM-OCT) represents a new methodology for contrast enhancement and therapeutic interventions in molecular imaging. In this study, we demonstrate vivo imaging dynamic functionalized iron oxide MNPs using MM-OCT preclinical mammary tumor model. Using targeted MNPs, images exhibit strong signals tumor, no significant were measured from tumors rats injected nontargeted or saline. The...
Abstract Feature selection and hyper-parameters optimization (tuning) are two of the most important challenging tasks in machine learning. To achieve satisfying performance, every learning model has to be adjusted for a specific problem, as efficient universal approach does not exist. In addition, data sets contain irrelevant redundant features that can even have negative influence on model’s performance. Machine applied almost everywhere; however, due high risks involved with growing number...
Intraoperative imaging of tumor microenvironment reveals correlations between extracellular vesicle density and breast pathology.
Despite extensive interest, extracellular vesicle (EV) research remains technically challenging. One of the unexplored gaps in EV has been inability to characterize spatially and functionally heterogeneous populations EVs based on their metabolic profile. In this paper, we utilize intrinsic optical structural contrast demonstrate vivo/in situ characterization a variety unprocessed (pre)clinical samples. With pixel-level segmentation mask provided by deep neural network, individual can be...
Successful treatment of breast cancer typically requires surgical removal the tumor.Optical coherence tomography (OCT) has been previously developed for real-time imaging margin.However, it can be difficult to distinguish between normal stromal tissue and based on scattering intensity structure alone.Polarization-sensitive optical (PS-OCT) is sensitive form birefringence biological tissue.We report development a high-speed PS-OCT system ex vivo human tissue, showing enhanced contrast healthy...
Two-photon fluorescence lifetime imaging microscopy (2P-FLIM) of autofluorescent metabolic coenzymes has been widely used to investigate energetic perturbations in living cells and tissues a label-free manner with subcellular resolution. While the currently state-of-the-art instruments are highly sensitive local molecular changes associated these processes, they inherently slow limit study dynamic environments. Here, sustained video-rate 2P-FLIM system is demonstrated for time-lapse reduced...
Evaluation of lymph node (LN) status is an important factor for detecting metastasis and thereby staging breast cancer. Currently utilized clinical techniques involve the surgical disruption resection lymphatic structure, whether nodes or axillary contents, histological examination. While reasonably effective at detection macrometastasis, majority resected are histologically negative. Improvements need to be made better detect micrometastasis, minimize eliminate complications, provide...
Label-free molecular imaging of the tumor microenvironment interrelates well-known events in carcinogenesis across spatial scales.
Recent advances in label-free virtual histology promise a new era for real-time molecular diagnosis the operating room and during biopsy procedures. To take full advantage of rich, multidimensional information provided by these technologies, reproducible reliable computational tools that could facilitate are great demand. In this study, we developed deep-learning-based framework to recognize cancer versus normal human breast tissue from images, with tile-level AUC (area under receiver curve)...
We report an automated differentiation model for classifying malignant tumor, fibro-adipose, and stroma in human breast tissues based on polarization-sensitive optical coherence tomography (PS-OCT). A total of 720 PS-OCT images from 72 sites 41 patients with H&E histology-confirmed diagnoses as the gold standard were employed this study. The is trained by features extracted both one OCT-based metric (i.e., intensity) four PS-OCT-based metrics phase difference between two channels ( PD ),...
The rapid growth of number devices that are connected to internet things (IoT) networks, increases the severity security problems need be solved in order provide safe environment for network data exchange. discovery new vulnerabilities is everyday challenge experts and many novel methods detection prevention intrusions being developed dealing with this issue. To overcome these shortcomings, artificial intelligence (AI) can used development advanced intrusion systems (IDS). This allows such...
Abstract Label-free optical microscopy has matured as a noninvasive tool for biological imaging; yet, it is criticized its lack of specificity, slow acquisition and processing times, weak noisy signals that lead to inaccuracies in quantification. We introduce FOCALS (Fast Optical Coherence, Autofluorescence Lifetime imaging, Second harmonic generation) capable generating NAD(P)H fluorescence lifetime, second generation (SHG), polarization-sensitive coherence (OCM) images simultaneously....
Time-resolved photon counting methods have a finite bandwidth that restricts the acquisition speed of techniques like fluorescence lifetime imaging microscopy (FLIM). To enable faster imaging, computational can be employed to count photons when output detector is directly digitized at high sampling rate. Here, we present using hybrid photodetector in conjunction with multithreshold peak detection instances where one or more arrive within response time. This method used distinguish up five...
Fatty acids play essential roles in the growth and metastasis of cancer cells. To facilitate their avid proliferation, cells not only alter fatty acid synthesis metabolism intracellularly extracellularly, but also macroenvironment via direct or indirect pathways. We report here, using Raman micro-spectroscopy, that an increase production polyunsaturated (PUFAs) was identified both cancerous normal appearing breast tissue obtained from patients tumor-bearing rats. By minimizing confounding...
Cell death plays a critical role in health and homeostasis as well the pathogenesis treatment of broad spectrum diseases can be broadly divided into two main categories: apoptosis, or programmed cell death, necrosis, acute death. While these processes have been characterized extensively vitro, label-free detection apoptosis necrosis at cellular level vivo has yet to shown. In this study, for first time, fluorescence lifetime imaging microscopy (FLIM) intracellular reduced nicotinamide...
We report the development and implementation of an intraoperative polarization-sensitive optical coherence tomography (PS-OCT) system for enhancing breast cancer detection. A total 3440 PS-OCT images were intraoperatively acquired from 9 human specimens diagnosed by H&E histology as healthy fibro-adipose tissue (n = 2), stroma or invasive ductal carcinoma (IDC, n 5). standard OCT-based metric (coefficient variation (CV)) PS-OCT-based metrics sensitive to biological birefringence (i.e.,...
Abstract Extracellular vesicles (EVs) have been implicated in metastasis and proposed as cancer biomarkers. However, heterogeneity small size makes assessments of EVs challenging. Often, are isolated from biofluids, losing spatial temporal context thus lacking the ability to access situ their native microenvironment. This work examines capabilities label-free nonlinear optical microscopy extract biochemical metrics ex vivo tissue biofluids cases human breast cancer, comparing these within...
Background and Objective Sarcomas are rare but highly aggressive tumors, local recurrence after surgical excision can occur in up to 50% cases. Therefore, there is a strong clinical need for accurate tissue differentiation margin assessment reduce incomplete resection recurrence. The purpose of this study was investigate the use optical coherence tomography (OCT) novel image texture‐based processing algorithm differentiate sarcoma from muscle adipose tissue. Study Design Methods In study,...
Programmed cell death, or apoptosis, is an essential process in development and homeostasis, disruptions associated pathways are responsible for a wide variety of diseases such as cancer, developmental abnormalities, Alzheimer’s disease. On the other hand, many cases, desired outcome therapeutic treatments targeting cancer. Recently, metabolic imaging based on two-photon fluorescence microscopy has been developed shown to be highly sensitive certain death processes, most notably thus having...