Yamuna Phal presented "Emerging Techniques in Infrared Imaging" at the 2021 MIT EECS Rising Stars Workshop designed to recognize and empower students with underrepresented gender identities in the STEM fields. Her research, "encompasses a fundamental information theory approach that pushes the spatial and spectral limits of IR microscopy". This workshop helps highlight the work of historically marginalized and underrepresented genders in the electrical engineering and computer science fields.
Read ArticleThe Power List for the Analytical Scientist celebrates 100 of the world's most influential analytical scientists including our own Prof. Bhargava who states, "The biggest breakthrough in our field has been the ready availability of tunable lasers across the mid-IR spectral region. With the availability of quantum cascade lasers, a widely tunable, high intensity source became available. This technology has changed our field."
Read ArticleHere, we report a deep learning-based framework to complement the process of data acquisition and information extraction. These deep learning techniques provide new capabilities for IR imaging to extract better quality information faster.
Read ArticleHere, we report a deep learning-based framework to complement the process of data acquisition and information extraction. These deep learning techniques provide new capabilities for IR imaging to extract better quality information faster.
Read ArticleDiscrete frequency infrared (DFIR) chemical imaging is transforming the practice of microspectroscopy by enabling a diversity of instrumentation and new measurement capabilities. Here we describe the evolution of IR microscopes, provide rationales for design choices, and the major considerations for each optical component that together comprise an imaging system.
Read ArticleVibrational Circular Dichroism (VCD) arises from chiroptical phenomena in biological samples. We demonstrate VCD imaging, a novel microscopy technique that can provide molecular and spatially-specific chirality mapping of biological tissues by measuring optical activity.
Read ArticleColours in biomedical imaging usually come from dyes and stains. However, it was not always so. Advances in machine learning are now bringing microscopy back to the label-free regime by unlocking the potential of hyperspectral imaging where rich spectral profiles are recorded at each image pixel.
Read ArticleWe performed infrared spectroscopic imaging and combined that with advanced machine learning-based algorithms to assess fibrosis in 15 samples from patients to three different classes. The objective is to develop a novel, rapid, label-free approach to accurately measure and quantify the extent of fibrosis in cardiac tissue using infrared spectroscopic imaging.
Read ArticleHere we provide several examples, from microscopy to nanoscopy, of the development of theoretical understanding and performance enhancements in IR spectroscopic imaging. The increase in measurement capability is illustrated with biomedical samples.
Read ArticleRecent advancements in the development of Quantum Cascade Lasers (QCL) sources have opened new avenues in IR imaging with high spatial and spectral resolution while enabling drastic increases in imaging speeds than a corresponding FT-IR approach. We demonstrate improved performance in terms of fast and comprehensive polarimetric image acquisition using a custom-built QCL microscope with point mapping design.
Read ArticleSpectroscopic imaging offers a potential path to all-digital molecular pathology by relating the spectral date to histopathological details of tissue. In this study, we have described sample size estimation (power analysis) and multiclass diagnostic ROC curve generation for hyperspectral datasets.
Read ArticleApplications of machine learning in pathology is an active research area in modern medicine. Here, we presented a classifier for label-free renal histopathology.
Read ArticleIn this study, we examine the role of spatial-spectral tradeoffs in infrared spectroscopic imaging configurations for probing tumors and the associated microenvironment profiles at different levels of model complexity. We image breast tissue using standard and high-definition Fourier Transform Infrared (FT-IR) imaging and systematically examine the localization, spectral origins, and utility of data for classification.
Read ArticleBioengineering founder professor Rohit Bhargava was selected as the 2021 recipient of The Optical Society (OSA) Ellis R. Lippincott Award. Co-presented by the OSA, the Coblentz Society and the Society for Applied Spectroscopy (SAS), this award recognizes significant innovations in the field of vibrational spectroscopy.
Read ArticleWe present a high-definition infrared imaging–based organizational measurement framework (INFORM) that leverages intrinsic chemical contrast of tissue to label unique components of the tumor and its microenvironment. Using objective and automated computational methods, further, we determine organization characteristics important for prediction.
Read ArticleThis study offers some insight into future possibilities of examining small, localized changes in tissue that have major implications for systemic diseases and their progression, while also laying the groundwork for additional modeling and validation in advancing the capability of VCD spectroscopy and imaging.
Read ArticleEvery year, AAAS fellows are elected by their peers who recognize each fellow for his or her important contribution to the STEM field through pioneering research, teaching, collaborations and advancing public understanding of science. Bhargava and the four Illinois researchers have joined the ranks of distinguished AAAS fellows.
Read ArticleThe combination of surface-initiated photopolymerization and freeform 3D printing has potential to fabricate physiologically relevant structures useful for a variety of tissue engineering and biomedical applications.
Read ArticleWe have developed a solution that enables large area mid-IR photothermal imaging of tissue sections at high quality and high speed and introduced its application to histopathology and automated disease with artificial intelligence.
Read ArticleThe group has improved signal-to-noise ratio on a previously published AFM-IR via a theoretical model to clarify the source of the noise. Instead of detecting cantilever deflection, researchers use a piezo component as a stage to maintain zero deflection. This technique has promising applications on observing small and complex mixtures.
Read ArticleYamuna Phal was named one of the twelve recipents in 2020 Beckman Institue spring student awards based on prominent research experience. Yamuna's research focuses on improving diagnostic capability in nowdays technology by the integration of IR spectroscopic imaging system and polarimetric measurements.
Read ArticleDr. Bhargava received 2020 Outstanding Advising Awards, nominated by students. "Dr. Bhargava always shows passion and willingness on guiding students to the best path and being supportive throughout the process." said by a sophomore student in Bioengineering.
Read ArticleThe group develops an IR-optical hybrid (IR-OH) microscope and synergize with the emerging computational ubiquity to handle the wide palette of IR molecular contrast. The combined features from different aspects create changes on how we handle tissue structure by enabling all-digital pathology with applications across the spectrum of biomedical science. Read the full article below.
Read ArticleShachi Mittal has won Tomas B. Hirschfield scholar award in SciX2020. Her outstanding works on early cancer detection and prognostic assssment are recognized. She utilizes spectroscopy data to develop efficient computational models and link to clinical translation. Besdies research, she has mentored several students by assisting them to develop research skill.
Read ArticleDr. Rohit Bhargava has delivered a keynote presentation in SciX2019, the annual meeting of the Federation of Analytical Chenistry and Spectroscopy Societies (FACSS). He talked about how a great exchange has been made by the convergence of measurement and data sciences.
Read ArticleSaumya Tiwari recieved the Society for Applied Spectroscopy’s (SAS) Barbara Stull Graduate Student Award at SciX2019 based on her brillant work. Her research focuses on developing spectroscopic imaging to determine patients outsomes in colon cancer. She also works on computational models for spectroscopic imaging data analysis.
Read ArticleCollaborators between the University of Illinois at Urbana-Champaign, University of Craiova (Romania) and University of Illinois at Chicago published this paper, led by Dr. Shachi Mittal, focused on using interpretable features from deep learning methods to categorize breast cancer. Read the full article below.
Read ArticleSudipta Mukherjee won an award for the 2019 Beckman Image Research Contest. The winning image is acquired using stimulated Raman scattering microscope and shows a co-culture of colon cancer cells and fibroblasts embedded in hydrogel matrix.
2019 Beckman Image Research ContestDrs. Ilia Rasskazov, Rajveer Singh, Scott Carney, and Rohit Bhargava published on looking at optical scattering corrections with a goal to have an absorption spectrum relatively free of sample morphology effects. Read the Paper below.
Read ArticleCollaborators between the University of Illinois at Urbana-Champaign, University of Illinois Chicago, and the University of Texas at Austin published this paper focusing on denoising images against the Minimum Noise Fraction (MNF).Read the Paper below.
Read ArticleThe second latest paper co-authored with Chevron Phillips Chemical Company focuses on bulk strain hardening moduli of tensile polyolefin samples. Read the full article below.
Read ArticleDr. Rohit Bhargava's 3D printer work was featured in PCMag as one of the five amazing projects that will change the future of healthcare. Read the full article below.
Read ArticleThe Chemical Imaging and Structures Laboratory particpated in the biannual Beckman Open House on Friday, March 8 and Saturday, March 9. Visitors had the opportunity to build chemical structures out of marshmallows, learn about spectroscopy, and even have the chance to win a free-form 3D printed item!
Beckman Open HouseShachi Mittal and Dr. Bhargava's paper on IR Spectroscopy dives deeper into spectral regions that can provide high-accuracy classifiers other than just the fingerprint region. Read the full article below.
Read ArticleShachi Mittal were among the five researchers named as Beckman Institute Postdoctoral Fellows for 2019. Shachi expects to earn her Ph.D. in bioengineering in 2019. She hopes to improve the treatment of breast cancer by developing digital models using molecular imaging. Her work could provide more detailed diagnoses, identify breast cancer subtypes, and better predict patient outcomes for improved patient care.
Read StoryCancer Center Director Rohit Bhargava featured in the News Gazette Campus Conversation podcast and talked about the center's plans and impact both on campus and in the community.
Read Article Read Highlights Listen to Podcast"Controlled Dissolution of Freeform 3D Printed Carbohydrate Glass Scaffolds in Hydrogels Using a Hydrophobic Spray Coating" was published in Additive Manufacturing late last year and focuses on sacrificial molding to generate complex 3D models. Read the full article below.
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