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Moustafa TE, Belote RL, Polanco ER, Judson-Torres RL, Zangle TA. Quadrant darkfield (QDF) for label-free imaging of intracellular puncta. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.05.606686. [PMID: 39149239 PMCID: PMC11326191 DOI: 10.1101/2024.08.05.606686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
Measuring changes in cellular structure and organelles is crucial for understanding disease progression and cellular responses to treatments. A label-free imaging method can aid in advancing biomedical research and therapeutic strategies. This study introduces a computational darkfield imaging approach named quadrant darkfield (QDF) to separate smaller cellular features from large structures, enabling label-free imaging of cell organelles and structures in living cells. Using a programmable LED array as illumination source, we vary the direction of illumination to encode additional information about the feature size within cells. This is possible due to the varying level of directional scattering produced by features based on their sizes relative to the wavelength of light used. QDF successfully resolved small cellular features without interference from larger structures. QDF signal is more consistent during cell shape changes than traditional darkfield. QDF signals correlate with flow cytometry side scatter measurements, effectively differentiating cells by organelle content. QDF imaging enhances the study of subcellular structures in living cells, offering improved quantification of organelle content compared to darkfield without labels. This method can be simultaneously performed with other techniques such as quantitative phase imaging to generate a multidimensional picture of living cells in real-time.
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Gong J, Zhang Y, Zhang H, Li Q, Ren G, Lu W, Wang J. Evaluation of Blood Coagulation by Optical Vortex Tracking. SENSORS (BASEL, SWITZERLAND) 2022; 22:4793. [PMID: 35808290 PMCID: PMC9269077 DOI: 10.3390/s22134793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 06/20/2022] [Accepted: 06/21/2022] [Indexed: 06/15/2023]
Abstract
Blood coagulation is a complicated dynamic process that maintains the blood's fluid state and prevents uncontrollable bleeding. The real-time monitoring of coagulation dynamics is critical for blood transfusion guidance, emergency management of trauma-induced coagulopathy, perioperative bleeding, and targeted hemostatic therapy. Here, we utilize optical vortex dynamics to detect the blood coagulation dynamic process in a rapid and non-contact manner. To characterize the temporal changes in viscoelastic properties of blood during coagulation, we track the stochastic motion of optical vortices in the time-varying speckles reflected from 100 blood samples with varied coagulation profiles. The mean square displacement (MSD) of the vortices increases nonlinearly with time lag during blood coagulation reminiscent of the particles in viscoelastic fluids. The MSD curves with coagulation time are similar to the tracings of thromboelastography (TEG) during the blood coagulation. The retrieved coagulation parameters, such as reaction time and activated clotting time measured using the optical vortex method, exhibit a close correlation to those parameters acquired from TEG. These results demonstrate the feasibility of the optical vortex method for monitoring blood coagulation at the point of care. Our method is also applicable to measuring the viscoelasticity of complex fluids and turbid soft matters.
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Affiliation(s)
- Jiaxing Gong
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; (J.G.); (Y.Z.); (H.Z.); (Q.L.); (G.R.); (W.L.)
- Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen 518000, China
| | - Yaowen Zhang
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; (J.G.); (Y.Z.); (H.Z.); (Q.L.); (G.R.); (W.L.)
| | - Hui Zhang
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; (J.G.); (Y.Z.); (H.Z.); (Q.L.); (G.R.); (W.L.)
| | - Qi Li
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; (J.G.); (Y.Z.); (H.Z.); (Q.L.); (G.R.); (W.L.)
- Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen 518000, China
| | - Guangbin Ren
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; (J.G.); (Y.Z.); (H.Z.); (Q.L.); (G.R.); (W.L.)
| | - Wenjian Lu
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; (J.G.); (Y.Z.); (H.Z.); (Q.L.); (G.R.); (W.L.)
| | - Jing Wang
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; (J.G.); (Y.Z.); (H.Z.); (Q.L.); (G.R.); (W.L.)
- Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen 518000, China
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Wang W, Min L, Tian P, Wu C, Liu J, Hu XH. Analysis of polarized diffraction images of human red blood cells: a numerical study. BIOMEDICAL OPTICS EXPRESS 2022; 13:1161-1172. [PMID: 35414979 PMCID: PMC8973179 DOI: 10.1364/boe.445370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 01/26/2022] [Accepted: 01/26/2022] [Indexed: 06/14/2023]
Abstract
We carried out a systematic study on cross-polarized diffraction image (p-DI) pairs of 3098 mature red blood cells (RBCs) using optical cell models with varied morphology, refractive index (RI), and orientation. The influence of cell rotation on texture features of p-DI pairs characterized by the gray-level co-occurrence matrix (GLCM) algorithm was quantitatively analyzed. Correlations between the transverse diameters of RBCs with different RI values and scattering efficiency ratios of s- and p-polarized light were also investigated. The correlations remain strong even for RBCs with significant orientation variations. In addition, we applied a minimum redundancy maximum relevance (mRMR) algorithm to improve the performance of support vector machine (SVM) classifiers. It was demonstrated that a set of selected GLCM parameters allowed for an efficient solution of classification problems of RBCs based on morphology. For 1598 RBCs with varied shapes corresponding to normal or pathological cases, the accuracy of the SVM based classifications increased from 83.8% to 96.8% with the aid of mRMR. These results indicate the strong potential of p-DI data for rapid and accurate screening examinations of RGC shapes in routine clinical tests.
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Affiliation(s)
- Wenjin Wang
- Institute for Advanced Optics, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China
- School of Physics & Electronics Science and Technology, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China
| | - Li Min
- Institute for Advanced Optics, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China
- School of Physics & Electronics Science and Technology, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China
| | - Peng Tian
- Institute for Advanced Optics, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China
- School of Physics & Electronics Science and Technology, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China
| | - Chao Wu
- Institute for Advanced Optics, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China
- Intelligent Manufacturing Research Institute, South-Central University for Nationalities, Wuhan, Hubei 430074, China
| | - Jing Liu
- Institute for Advanced Optics, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China
- School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China
| | - Xin-Hua Hu
- Institute for Advanced Optics, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China
- Department of Physics, East Carolina University, Greenville, NC 27858, USA
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Lu Q, Chu K, Dou H, Smith ZJ. A sample-preparation-free, automated, sample-to-answer system for cell counting in human body fluids. Anal Bioanal Chem 2021; 413:5025-5035. [PMID: 34170346 DOI: 10.1007/s00216-021-03466-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 06/03/2021] [Accepted: 06/08/2021] [Indexed: 10/21/2022]
Abstract
While many clinical laboratory tests are now highly automated, body fluid cell counting, particularly in low-cellularity samples such as cerebral spinal fluid (CSF), is often performed manually. Here, we report a simple, cost-effective method to obtain white and red blood cell counts from human body fluids such as CSF. The method consists of a compact, automated, and low-cost fluorescence microscope system, coupled to a sample chamber containing all of the necessary reagents in dry form to stain and prepare the sample. Sample focus and scanning are handled automatically, and the acquired multimodal images are automatically analyzed to extract cell counts. Comparison with manual counting on over 200 clinical samples shows excellent agreement. As the system counts a substantially larger image region than a standard manual cell count, we find our sensitivity to extremely low cellularity samples to potentially be higher than the manual gold standard, evidenced by our system recording images of cells in samples whose cell count was registered as "0" by a trained user. Thus, our system holds promise for routine, automated, and sensitive analysis of body fluids whose cellularity extends across a wide dynamic range.
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Affiliation(s)
- Qiang Lu
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, 96 Jinzhai Road, Hefei, 230027, Anhui, China
| | - Kaiqin Chu
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, 96 Jinzhai Road, Hefei, 230027, Anhui, China.,Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, 96 Jinzhai Road, Hefei, 230027, Anhui, China
| | - Hu Dou
- Department of Clinical Laboratory, Ministry of Education Key Laboratory of Child Development and Disorders, Key Laboratory of Pediatrics in Chongqing, Chongqing International Science and Technology Cooperation Center for Child Development and Disorders, Children's Hospital of Chongqing Medical University, 136 Zhongshan 2nd Road, Chongqing, 400014, China.
| | - Zachary J Smith
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, 96 Jinzhai Road, Hefei, 230027, Anhui, China.
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