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Yeh LH, Ivanov IE, Chandler T, Byrum JR, Chhun BB, Guo SM, Foltz C, Hashemi E, Perez-Bermejo JA, Wang H, Yu Y, Kazansky PG, Conklin BR, Han MH, Mehta SB. Permittivity tensor imaging: modular label-free imaging of 3D dry mass and 3D orientation at high resolution. Nat Methods 2024; 21:1257-1274. [PMID: 38890427 DOI: 10.1038/s41592-024-02291-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 04/24/2024] [Indexed: 06/20/2024]
Abstract
The dry mass and the orientation of biomolecules can be imaged without a label by measuring their permittivity tensor (PT), which describes how biomolecules affect the phase and polarization of light. Three-dimensional (3D) imaging of PT has been challenging. We present a label-free computational microscopy technique, PT imaging (PTI), for the 3D measurement of PT. PTI encodes the invisible PT into images using oblique illumination, polarization-sensitive detection and volumetric sampling. PT is decoded from the data with a vectorial imaging model and a multi-channel inverse algorithm, assuming uniaxial symmetry in each voxel. We demonstrate high-resolution imaging of PT of isotropic beads, anisotropic glass targets, mouse brain tissue, infected cells and histology slides. PTI outperforms previous label-free imaging techniques such as vector tomography, ptychography and light-field imaging in resolving the 3D orientation and symmetry of organelles, cells and tissue. We provide open-source software and modular hardware to enable the adoption of the method.
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Affiliation(s)
- Li-Hao Yeh
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- ASML, San Jose, CA, USA
| | | | | | - Janie R Byrum
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- California's Stem Cell Agency, South San Francisco, CA, USA
| | - Bryant B Chhun
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Eikon Therapeutics, Hayward, CA, USA
| | - Syuan-Ming Guo
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Insitro, South San Francisco, CA, USA
| | - Cameron Foltz
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Quantinuum, Broomfield, CO, USA
| | | | - Juan A Perez-Bermejo
- Gladstone Institutes, San Francisco, CA, USA
- Genentech, South San Francisco, CA, USA
| | | | - Yanhao Yu
- University of Southampton, Southampton, UK
| | | | - Bruce R Conklin
- Gladstone Institutes, San Francisco, CA, USA
- University of California San Francisco, San Francisco, CA, USA
| | - May H Han
- Stanford University, Palo Alto, CA, USA
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2
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Rai R, Jat D, Mishra SK. Naringenin mitigates aluminum toxicity-induced learning memory impairments and neurodegeneration through amelioration of oxidative stress. J Biochem Mol Toxicol 2024; 38:e23717. [PMID: 38742857 DOI: 10.1002/jbt.23717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 04/08/2024] [Accepted: 05/06/2024] [Indexed: 05/16/2024]
Abstract
Aluminum chloride (AlCl3) is a potent neurotoxic substance known to cause memory impairment and oxidative stress-dependent neurodegeneration. Naringenin (NAR) is a dietary flavonoid with potent antioxidant and anti-inflammatory properties which was implemented against AlCl3-induced neurotoxicity to ascertain its neuroprotective efficacy. Experimental neurotoxicity in mice was induced by exposure of AlCl3 (10 mg/kg, p.o.) followed by treatment with NAR (10 mg/kg, p.o.) for a total of 63 days. Assessed the morphometric, learning memory dysfunction (novel object recognition, T- and Y-maze tests), neuronal oxidative stress, and histopathological alteration in different regions of the brain, mainly cortex, hippocampus, thalamus, and cerebellum. AlCl3 significantly suppressed the spatial learning and memory power which were notably improved by administration of NAR. The levels of oxidative stress parameters nitric oxide, advanced oxidation of protein products, protein carbonylation, lipid peroxidation, superoxide dismutase, catalase, glutathione reductase, reduced glutathione, and the activity of acetylcholine esterase were altered 1.5-3 folds by AlCl3 significantly. Treatment of NAR remarkably restored the level of oxidative stress parameters and maintained the antioxidant defense system. AlCl3 suppressed the expression of neuronal proliferation marker NeuN that was restored by NAR treatment which may be a plausible mechanism. NAR showed therapeutic efficacy as a natural supplement against aluminum-intoxicated memory impairments and histopathological alteration through a mechanism involving an antioxidant defense system and neuronal proliferation.
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Affiliation(s)
- Ravina Rai
- Department of Zoology, School of Biological Sciences, Dr. Harisingh Gour Central University, Sagar, India
| | - Deepali Jat
- Department of Zoology, School of Biological Sciences, Dr. Harisingh Gour Central University, Sagar, India
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3
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Min E, Aimakov N, Lee S, Ban S, Yang H, Ahn Y, You JS, Jung W. Multi-contrast digital histopathology of mouse organs using quantitative phase imaging and virtual staining. BIOMEDICAL OPTICS EXPRESS 2023; 14:2068-2079. [PMID: 37206137 PMCID: PMC10191651 DOI: 10.1364/boe.484516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/22/2023] [Accepted: 02/27/2023] [Indexed: 05/21/2023]
Abstract
Quantitative phase imaging (QPI) has emerged as a new digital histopathologic tool as it provides structural information of conventional slide without staining process. It is also capable of imaging biological tissue sections with sub-nanometer sensitivity and classifying them using light scattering properties. Here we extend its capability further by using optical scattering properties as imaging contrast in a wide-field QPI. In our first step towards validation, QPI images of 10 major organs of a wild-type mouse have been obtained followed by H&E-stained images of the corresponding tissue sections. Furthermore, we utilized deep learning model based on generative adversarial network (GAN) architecture for virtual staining of phase delay images to a H&E-equivalent brightfield (BF) image analogues. Using the structural similarity index, we demonstrate similarities between virtually stained and H&E histology images. Whereas the scattering-based maps look rather similar to QPI phase maps in the kidney, the brain images show significant improvement over QPI with clear demarcation of features across all regions. Since our technology provides not only structural information but also unique optical property maps, it could potentially become a fast and contrast-enriched histopathology technique.
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Affiliation(s)
- Eunjung Min
- Systems Neuroscience and Neuroengineering, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - Nurbolat Aimakov
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea
| | - Sangjin Lee
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea
| | - Sungbea Ban
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea
| | - Hyunmo Yang
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea
| | - Yujin Ahn
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea
| | - Joon S. You
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea
- Incipian LLC, Laguna Niguel, California, USA
| | - Woonggyu Jung
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea
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4
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Stȩpień P, Krauze W, Kujawińska M. Preprocessing methods for quantitative phase image stitching. BIOMEDICAL OPTICS EXPRESS 2022; 13:1-13. [PMID: 35154849 PMCID: PMC8803031 DOI: 10.1364/boe.439045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 10/14/2021] [Accepted: 10/22/2021] [Indexed: 06/14/2023]
Abstract
Quantitative phase imaging of cell cultures and histopathological slides often requires measurements in large fields of view which is realized through the stitching of multiple high resolution phase maps. Due to the characteristic properties of phase images, careful preprocessing is crucial for maintaining the metrological value of the stitched phase image. In this work, we present various methods that address those properties. Our efforts are focused on increasing robustness to minimize error propagation in consecutive preprocessing steps.
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5
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Liu K, Li J, Raghunathan R, Zhao H, Li X, Wong STC. The Progress of Label-Free Optical Imaging in Alzheimer's Disease Screening and Diagnosis. Front Aging Neurosci 2021; 13:699024. [PMID: 34366828 PMCID: PMC8341907 DOI: 10.3389/fnagi.2021.699024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 07/02/2021] [Indexed: 01/13/2023] Open
Abstract
As the major neurodegenerative disease of dementia, Alzheimer's disease (AD) has caused an enormous social and economic burden on society. Currently, AD has neither clear pathogenesis nor effective treatments. Positron emission tomography (PET) and magnetic resonance imaging (MRI) have been verified as potential tools for diagnosing and monitoring Alzheimer's disease. However, the high costs, low spatial resolution, and long acquisition time limit their broad clinical utilization. The gold standard of AD diagnosis routinely used in research is imaging AD biomarkers with dyes or other reagents, which are unsuitable for in vivo studies owing to their potential toxicity and prolonged and costly process of the U.S. Food and Drug Administration (FDA) approval for human use. Furthermore, these exogenous reagents might bring unwarranted interference to mechanistic studies, causing unreliable results. Several label-free optical imaging techniques, such as infrared spectroscopic imaging (IRSI), Raman spectroscopic imaging (RSI), optical coherence tomography (OCT), autofluorescence imaging (AFI), optical harmonic generation imaging (OHGI), etc., have been developed to circumvent this issue and made it possible to offer an accurate and detailed analysis of AD biomarkers. In this review, we present the emerging label-free optical imaging techniques and their applications in AD, along with their potential and challenges in AD diagnosis.
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Affiliation(s)
- Kai Liu
- Translational Biophotonics Laboratory, Systems Medicine and Bioengineering Department, Houston Methodist Cancer Center, Houston, TX, United States
- Department of Gastrointestinal Surgery, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Jiasong Li
- Translational Biophotonics Laboratory, Systems Medicine and Bioengineering Department, Houston Methodist Cancer Center, Houston, TX, United States
- T. T. and W. F. Chao Center for BRAIN, Houston Methodist Hospital, Houston, TX, United States
| | - Raksha Raghunathan
- Translational Biophotonics Laboratory, Systems Medicine and Bioengineering Department, Houston Methodist Cancer Center, Houston, TX, United States
- T. T. and W. F. Chao Center for BRAIN, Houston Methodist Hospital, Houston, TX, United States
| | - Hong Zhao
- Translational Biophotonics Laboratory, Systems Medicine and Bioengineering Department, Houston Methodist Cancer Center, Houston, TX, United States
| | - Xuping Li
- T. T. and W. F. Chao Center for BRAIN, Houston Methodist Hospital, Houston, TX, United States
| | - Stephen T. C. Wong
- Translational Biophotonics Laboratory, Systems Medicine and Bioengineering Department, Houston Methodist Cancer Center, Houston, TX, United States
- T. T. and W. F. Chao Center for BRAIN, Houston Methodist Hospital, Houston, TX, United States
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Jiao Y, Kandel ME, Liu X, Lu W, Popescu G. Real-time Jones phase microscopy for studying transparent and birefringent specimens. OPTICS EXPRESS 2020; 28:34190-34200. [PMID: 33182894 PMCID: PMC7679182 DOI: 10.1364/oe.397062] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Tissue birefringence is an intrinsic marker of potential value for cancer diagnosis. Traditionally, birefringence properties have been studied by using intensity-based formalisms, through the Mueller matrix algebra. On the other hand, the Jones matrix description allows for a direct assessment of the sample's anisotropic response. However, because Jones algebra is based on complex fields, requiring measurements of both phase and amplitude, it is less commonly used. Here we propose a real-time imaging method for measuring Jones matrices by quantitative phase imaging. We combine a broadband phase imaging system with a polarization-sensitive detector to obtain Jones matrices at each point in a megapixel scale image, with near video rate capture speeds. To validate the utility of our approach, we measured standard targets, partially birefringent samples, dynamic specimens, and thinly sliced histopathological tissue.
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Affiliation(s)
- Yuheng Jiao
- Quantitative Light Laboratory, Department of Electrical and Computer Engineering, Beckman Institute for Advanced Science and Technology, the University of Illinois at Urbana-Champaign, Illinois 61801, USA
- State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Mikhail E. Kandel
- Quantitative Light Laboratory, Department of Electrical and Computer Engineering, Beckman Institute for Advanced Science and Technology, the University of Illinois at Urbana-Champaign, Illinois 61801, USA
| | - Xiaojun Liu
- State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Wenlong Lu
- State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Gabriel Popescu
- Quantitative Light Laboratory, Department of Electrical and Computer Engineering, Beckman Institute for Advanced Science and Technology, the University of Illinois at Urbana-Champaign, Illinois 61801, USA
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7
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Huang C, Gu Y, Chen J, Bahrani AA, Abu Jawdeh EG, Bada HS, Saatman K, Yu G, Chen L. A Wearable Fiberless Optical Sensor for Continuous Monitoring of Cerebral Blood Flow in Mice. IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS : A PUBLICATION OF THE IEEE LASERS AND ELECTRO-OPTICS SOCIETY 2019; 25:1-9. [PMID: 31666792 DOI: 10.1109/jstqe.2018.2869613] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Continuous and longitudinal monitoring of cerebral blood flow (CBF) in animal models provides information for studying the mechanisms and interventions of various cerebral diseases. Since anesthesia may affect brain hemodynamics, researchers have been seeking wearable devices for use in conscious animals. We present a wearable diffuse speckle contrast flowmeter (DSCF) probe for monitoring CBF variations in mice. The DSCF probe consists of a small low-power near-infrared laser diode as a point source and an ultra-small low-power CMOS camera as a 2D detector array, which can be affixed on a mouse head. The movement of red blood cells in brain cortex (i.e., CBF) produces spatial fluctuations of laser speckles, which are captured by the camera. The DSCF system was calibrated using tissue phantoms and validated in a human forearm and mouse brains for continuous monitoring of blood flow increases and decreases against the established technologies. Significant correlations were observed among these measurements (R2 ≥ 0.80, p < 10-5). This small fiberless probe has the potential to be worn by a freely moving conscious mouse. Moreover, the flexible source-detector configuration allows for varied probing depths up to ~8 mm, which is sufficient for transcranially detecting CBF in the cortices of rodents and newborn infants.
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Affiliation(s)
- Chong Huang
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY 40506 USA
| | - Yutong Gu
- Department of Electrical Engineering, University of Southern California, Los Angeles, CA, 90089 USA
| | - Jing Chen
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY 40506 USA
| | - Ahmed A Bahrani
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY 40506 USA
| | - Elie G Abu Jawdeh
- Department of Pediatrics, College of Medicine, University of Kentucky, Lexington, KY 40536 USA
| | - Henrietta S Bada
- Department of Pediatrics, College of Medicine, University of Kentucky, Lexington, KY 40536 USA
| | - Kathryn Saatman
- Department of Physiology, Spinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, KY 40536 USA
| | - Guoqiang Yu
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY 40506 USA
| | - Lei Chen
- Department of Physiology, Spinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, KY 40536 USA
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8
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Roberts PR, Jani AB, Packianathan S, Albert A, Bhandari R, Vijayakumar S. Upcoming imaging concepts and their impact on treatment planning and treatment response in radiation oncology. Radiat Oncol 2018; 13:146. [PMID: 30103786 PMCID: PMC6088418 DOI: 10.1186/s13014-018-1091-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 07/31/2018] [Indexed: 12/14/2022] Open
Abstract
For 2018, the American Cancer Society estimated that there would be approximately 1.7 million new diagnoses of cancer and about 609,640 cancer-related deaths in the United States. By 2030 these numbers are anticipated to exceed a staggering 21 million annual diagnoses and 13 million cancer-related deaths. The three primary therapeutic modalities for cancer treatments are surgery, chemotherapy, and radiation therapy. Individually or in combination, these treatment modalities have provided and continue to provide curative and palliative care to the myriad victims of cancer. Today, CT-based treatment planning is the primary means through which conventional photon radiation therapy is planned. Although CT remains the primary treatment planning modality, the field of radiation oncology is moving beyond the sole use of CT scans to define treatment targets and organs at risk. Complementary tissue scans, such as magnetic resonance imaging (MRI) and positron electron emission (PET) scans, have all improved a physician’s ability to more specifically identify target tissues, and in some cases, international guidelines have even been issued. Moreover, efforts to combine PET and MR to define solid tumors for radiotherapy planning and treatment evaluation are also gaining traction. Keeping these advances in mind, we present brief overviews of other up-and-coming key imaging concepts that appear promising for initial treatment target definition or treatment response from radiation therapy.
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Affiliation(s)
- Paul Russell Roberts
- Department of Radiation Oncology, University of Mississippi Medical Center, 350 Woodrow Wilson Drive Suite 1600, Jackson, MS, 39213, USA
| | - Ashesh B Jani
- Department of Radiation Oncology, Winship Cancer Institute of Emory University, 1365 Clifton Rd, Atlanta, GA, 30322, USA
| | - Satyaseelan Packianathan
- Department of Radiation Oncology, University of Mississippi Medical Center, 350 Woodrow Wilson Drive Suite 1600, Jackson, MS, 39213, USA
| | - Ashley Albert
- Department of Radiation Oncology, University of Mississippi Medical Center, 350 Woodrow Wilson Drive Suite 1600, Jackson, MS, 39213, USA
| | - Rahul Bhandari
- Department of Radiation Oncology, University of Mississippi Medical Center, 350 Woodrow Wilson Drive Suite 1600, Jackson, MS, 39213, USA
| | - Srinivasan Vijayakumar
- Department of Radiation Oncology, University of Mississippi Medical Center, 350 Woodrow Wilson Drive Suite 1600, Jackson, MS, 39213, USA.
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9
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Barakat R, Lin PC, Park CJ, Best-Popescu C, Bakry HH, Abosalem ME, Abdelaleem NM, Flaws JA, Ko C. Prenatal Exposure to DEHP Induces Neuronal Degeneration and Neurobehavioral Abnormalities in Adult Male Mice. Toxicol Sci 2018; 164:439-452. [PMID: 29688563 PMCID: PMC6061835 DOI: 10.1093/toxsci/kfy103] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Phthalates are a family of synthetic chemicals that are used in producing a variety of consumer products. Di-(2-ethylhexyl) phthalate (DEHP) is an widely used phthalate and poses a public health concern. Prenatal exposure to DEHP has been shown to induce premature reproductive senescence in animal studies. In this study, we tested the hypothesis that prenatal exposure to DEHP impairs neurobehavior and recognition memory in her male offspring and we investigated one possible mechanism-oxidative damage in the hippocampus. Pregnant CD-1 female mice were orally administered 200 μg, 500 mg, or 750 mg/kg/day DEHP or vehicle from gestational day 11 until birth. The neurobehavioral impact of the prenatal DEHP exposure was assessed at the ages of 16-22 months. Elevated plus maze and open field tests were used to measure anxiety levels. Y-maze and novel object recognition tests were employed to measure memory function. The oxidative damage in the hippocampus was measured by the levels of oxidative DNA damage and by Spatial light interference microscopic counting of hippocampal neurons. Adult male mice that were prenatally exposed to DEHP exhibited anxious behaviors and impaired spatial and short-term recognition memory. The number of hippocampal pyramidal neurons was significantly decreased in the DEHP mice. Furthermore, DEHP mice expressed remarkably high levels of cyclooxygenase-2, 8-hydroxyguanine, and thymidine glycol in their hippocampal neurons. DEHP mice also had lower circulating testosterone concentrations and displayed a weaker immunoreactivity than the control mice to androgen receptor expression in the brain. This study found that prenatal exposure to DEHP caused elevated anxiety behavior and impaired recognition memory. These behavioral changes may originate from neurodegeneration caused by oxidative damage and inflammation in the hippocampus. Decreased circulating testosterone concentrations and decreased expression of androgen receptor in the brain also may be factors contributing to the impaired neurobehavior in the DEHP mice.
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Affiliation(s)
- Radwa Barakat
- Department of Comparative Biosciences, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Illinois 61802
- Department of Toxicology, Faculty of Veterinary Medicine, Benha University, Qalyubia 13518, Egypt
| | - Po-Ching Lin
- Department of Comparative Biosciences, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Illinois 61802
| | - Chan Jin Park
- Department of Comparative Biosciences, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Illinois 61802
| | - Catherine Best-Popescu
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Illinois 61801
| | - Hatem H Bakry
- Department of Toxicology, Faculty of Veterinary Medicine, Benha University, Qalyubia 13518, Egypt
| | - Mohamed E Abosalem
- Department of Toxicology, Faculty of Veterinary Medicine, Benha University, Qalyubia 13518, Egypt
| | - Nabila M Abdelaleem
- Department of Toxicology, Faculty of Veterinary Medicine, Benha University, Qalyubia 13518, Egypt
| | - Jodi A Flaws
- Department of Comparative Biosciences, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Illinois 61802
| | - CheMyong Ko
- Department of Comparative Biosciences, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Illinois 61802
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10
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Ban S, Min E, Baek S, Kwon HM, Popescu G, Jung W. Optical properties of acute kidney injury measured by quantitative phase imaging. BIOMEDICAL OPTICS EXPRESS 2018; 9:921-932. [PMID: 29541494 PMCID: PMC5846539 DOI: 10.1364/boe.9.000921] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Accepted: 01/25/2018] [Indexed: 05/20/2023]
Abstract
The diagnosis of acute kidney disease (AKI) has been examined mainly by histology, immunohistochemistry and western blot. Though these approaches are widely accepted in the field, it has an inherent limitation due to the lack of high-throughput and quantitative information. For a better understanding of prognosis in AKI, we present a new approach using quantitative phase imaging combined with a wide-field scanning platform. Through the phase-delay information from the tissue, we were able to predict a stage of AKI based on various optical properties such as light scattering coefficient and anisotropy. These optical parameters quantify the deterioration process of the AKI model of tissue. Our device would be a very useful tool when it is required to deliver fast feedback of tissue pathology or when diseases are related to mechanical properties such as fibrosis.
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Affiliation(s)
- Sungbea Ban
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea
- These authors contributed equally to this work
| | - Eunjung Min
- Rowland Institute, Harvard University, Boston, Massachusetts, USA
- These authors contributed equally to this work
| | - Songyee Baek
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea
| | - Hyug Moo Kwon
- Department of Biological Science, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea
| | - Gabriel Popescu
- Quantitative Light Imaging Laboratory, Department of Electrical and Computer Engineering, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Woonggyu Jung
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea
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11
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Lee YJ, Cintora P, Arikkath J, Akinsola O, Kandel M, Popescu G, Best-Popescu C. Quantitative assessment of neural outgrowth using spatial light interference microscopy. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:66015. [PMID: 28655053 PMCID: PMC5482290 DOI: 10.1117/1.jbo.22.6.066015] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Accepted: 05/30/2017] [Indexed: 05/12/2023]
Abstract
Optimal growth as well as branching of axons and dendrites is critical for the nervous system function. Neuritic length, arborization, and growth rate determine the innervation properties of neurons and define each cell’s computational capability. Thus, to investigate the nervous system function, we need to develop methods and instrumentation techniques capable of quantifying various aspects of neural network formation: neuron process extension, retraction, stability, and branching. During the last three decades, fluorescence microscopy has yielded enormous advances in our understanding of neurobiology. While fluorescent markers provide valuable specificity to imaging, photobleaching, and photoxicity often limit the duration of the investigation. Here, we used spatial light interference microscopy (SLIM) to measure quantitatively neurite outgrowth as a function of cell confluence. Because it is label-free and nondestructive, SLIM allows for long-term investigation over many hours. We found that neurons exhibit a higher growth rate of neurite length in low-confluence versus medium- and high-confluence conditions. We believe this methodology will aid investigators in performing unbiased, nondestructive analysis of morphometric neuronal parameters.
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Affiliation(s)
- Young Jae Lee
- University of Illinois at Urbana-Champaign, Department of Bioengineering, Cellular Neuroscience and Imaging Laboratory, Urbana, Illinois, United States
| | - Pati Cintora
- University of Illinois at Urbana-Champaign, Department of Bioengineering, Cellular Neuroscience and Imaging Laboratory, Urbana, Illinois, United States
| | - Jyothi Arikkath
- University of Nebraska Medical Center, Munroe-Meyer Institute, Omaha, Nebraska, United States
| | - Olaoluwa Akinsola
- University of Illinois at Urbana-Champaign, Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering, Quantitative Light Imaging Laboratory, Urbana, Illinois, United States
| | - Mikhail Kandel
- University of Illinois at Urbana-Champaign, Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering, Quantitative Light Imaging Laboratory, Urbana, Illinois, United States
| | - Gabriel Popescu
- University of Illinois at Urbana-Champaign, Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering, Quantitative Light Imaging Laboratory, Urbana, Illinois, United States
| | - Catherine Best-Popescu
- University of Illinois at Urbana-Champaign, Department of Bioengineering, Cellular Neuroscience and Imaging Laboratory, Urbana, Illinois, United States
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12
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Min E, Ban S, Wang Y, Bae SC, Popescu G, Best-Popescu C, Jung W. Measurement of multispectral scattering properties in mouse brain tissue. BIOMEDICAL OPTICS EXPRESS 2017; 8:1763-1770. [PMID: 28663864 PMCID: PMC5480579 DOI: 10.1364/boe.8.001763] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2016] [Revised: 02/10/2017] [Accepted: 02/14/2017] [Indexed: 05/26/2023]
Abstract
We present the scattering properties of mouse brain using multispectral diffraction phase microscopy. Typical diffraction phase microscopy was incorporated with the broadband light source which offers the measurement of the scattering coefficient and anisotropy in the spectral range of 550-900 nm. The regional analysis was performed for both the myeloarchitecture and cytoarchitecture of the brain tissue. Our results clearly evaluate the multispectral scattering properties in the olfactory bulb and corpus callosum. The scattering coefficient measured in the corpus callosum is about four times higher than in the olfactory bulb. It also indicates that it is feasible to realize the quantitative phase microscope in near infrared region for thick brain tissue imaging.
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Affiliation(s)
- Eunjung Min
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea
- Quantitative Light Imaging Laboratory, Department of Electrical and Computer Engineering, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- These authors contributed equally to this work
| | - Sungbea Ban
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea
- These authors contributed equally to this work
| | - Yanyan Wang
- Department of Pharmacology and Beckman Institute, University of Illinois at Urbana-Champaign (UIUC), Urbana, IL 61801, USA
| | - Sung Chul Bae
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea
| | - Gabriel Popescu
- Quantitative Light Imaging Laboratory, Department of Electrical and Computer Engineering, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Catherine Best-Popescu
- Cellular Neuroscience and Imaging Laboratory, Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Woonggyu Jung
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea
- Center for Soft and Living Matter, Institute for Basic Science (IBS), Ulsan, South Korea
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