The Use of Motion Analysis as Particle Biomarkers in Lensless Optofluidic Projection Imaging for Point of Care Urine Analysis

Kun, Jessica; Śmieja, Marek; Xiong, Bo; Soleymani, Leyla; Fang, Qiyin

doi:10.1038/s41598-019-53477-8

Cited by 8 publications

(3 citation statements)

References 35 publications

(35 reference statements)

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“…Projection imaging is the simplest and earliest lens-less microscopy method. The entire process does not require unique image reconstruction algorithms [ 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ]. Figure 1 is a typical schematic of lens-less diffraction microscopy setups based on a single frame [ 39 ], in projection lens-less microscopy, the sample is placed directly on the CCD/CMOS image sensor.…”

Section: Lens-less Microscopymentioning

confidence: 99%

Computational Portable Microscopes for Point-of-Care-Test and Tele-Diagnosis

Bian

Xing

Jiao

et al. 2022

Cells

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In bio-medical mobile workstations, e.g., the prevention of epidemic viruses/bacteria, outdoor field medical treatment and bio-chemical pollution monitoring, the conventional bench-top microscopic imaging equipment is limited. The comprehensive multi-mode (bright/dark field imaging, fluorescence excitation imaging, polarized light imaging, and differential interference microscopy imaging, etc.) biomedical microscopy imaging systems are generally large in size and expensive. They also require professional operation, which means high labor-cost, money-cost and time-cost. These characteristics prevent them from being applied in bio-medical mobile workstations. The bio-medical mobile workstations need microscopy systems which are inexpensive and able to handle fast, timely and large-scale deployment. The development of lightweight, low-cost and portable microscopic imaging devices can meet these demands. Presently, for the increasing needs of point-of-care-test and tele-diagnosis, high-performance computational portable microscopes are widely developed. Bluetooth modules, WLAN modules and 3G/4G/5G modules generally feature very small sizes and low prices. And industrial imaging lens, microscopy objective lens, and CMOS/CCD photoelectric image sensors are also available in small sizes and at low prices. Here we review and discuss these typical computational, portable and low-cost microscopes by refined specifications and schematics, from the aspect of optics, electronic, algorithms principle and typical bio-medical applications.

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Section: Lens-less Microscopymentioning

confidence: 99%

Computational Portable Microscopes for Point-of-Care-Test and Tele-Diagnosis

Bian

Xing

Jiao

et al. 2022

Cells

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“…While such approaches have been successfully applied for imaging of biological samples , and nanoparticles, they require the use of complex image reconstruction algorithms. However, direct on-chip imaging enables high-resolution microscopy with ease of image acquisition and does not require a complicated image reconstruction step. , Previously, our group reported a direct on-chip dark-field microscopy as a new modality in addition to conventional transmission-based imaging modality . Development of a new imaging mode to direct on-chip imaging platforms expands existing range of their functionality and opens new ways for their applications.…”

Section: Introductionmentioning

confidence: 99%

Complementary Metal-Oxide-Semiconductor-Based Sensing Platform for Trapping, Imaging, and Chemical Characterization of Biological Samples

Imanbekova

Saridag

Kahraman

et al. 2022

ACS Appl. Opt. Mater.

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Complementary metal-oxide-semiconductor (CMOS) imaging sensors provide the unique opportunity for combining lensless imaging with new modalities that enable sample handling and chemical characterization. In this study, we present a new CMOS-based sensing platform for trapping, imaging, and chemical characterization of samples via SERS (CMOS-TrICC). The SERS substrate is fabricated directly on a CMOS imaging sensor by depositing a thin metallic layer on top of the CMOS microlenses. SERS activity is based on square unit cell patterned, closely spaced, micrometer-sized microlenses on the surface of the imaging sensor. Morphological analysis of the surface revealed an intracavity depth of approximately 700 nm and height-dependent width ranging from a minimum of just a few nm between two lenses to a maximum of 1400 nm, with a flat valley exhibiting approximately 300 nm width at the bottom between four lenses. These morphological features concentrate electromagnetic fields into SERS hot spots and at the same time help trap nanometer-sized particles in the wells created by the microlenses. The strongest plasmonic effect is expected in the gaps between the microlenses. Simulations were used to map the distribution of the electromagnetic field enhancement on the SERS substrate surface and at a distance above it. The performance of the SERS substrate and its dependence on the silver layer thickness were examined using 4-aminotheophenol and rhodamine 6G with the experimental enhancement factor measured to be 5.0 × 10 4 . We demonstrated the use of this substrate for parallel trapping of 100 nm nanospheres and extracellular vesicles (EVs) in the gaps between the microlenses and SERS characterization of these particles in the hot spots. SERS intensities are 2 orders of magnitude higher in the nanogaps between the microlenses (intracavity area) than on top of the microlenses, and for polystyrene, they exhibited signature peaks centered at 1000 and 1600 cm −1 . SERS spectra of small EVs collected from intracavity areas where EVs were trapped show peaks known to arise from their main biochemical constituents, such as lipids, proteins, and nucleic acids. While the surface of the CMOS imaging sensor became SERS active by the addition of the metallic layer, the imaging capability is maintained and provides the opportunity for direct on-chip lensless imaging with spatial resolution limited by the pixel size, opening new directions for integrated (bio)sensing devices.

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“…Then, the samples in a wide range of depths can be observed with high-spatial resolution after holographic reconstruction [25,26]. Recently, lensless imaging has been used for morphological observation of particles/cells in the fluidic samples, such as characterization of microplastics [27], urine analysis [28,29], blood analysis [30], and phytoplankton analysis [31]. Nevertheless, a separate fluorescence analysis measurement is still commonly required in phytoplankton identification [12,17,21,22,32].…”

Section: Introductionmentioning

confidence: 99%

Dual-Modality Imaging Microfluidic Cytometer for Onsite Detection of Phytoplankton

et al. 2021

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Phytoplankton monitoring is essential for better understanding and mitigation of phytoplankton bloom formation. We present a microfluidic cytometer with two imaging modalities for onsite detection and identification of phytoplankton: a lensless imaging mode for morphological features, and a fluorescence imaging mode for autofluorescence signal of phytoplankton. Both imaging modes are integrated in a microfluidic device with a field of view (FoV) of 3.7 mm × 2.4 mm and a depth of field (DoF) of 0.8 mm. The particles in the water flow channel can be detected and classified with automated image processing algorithms and machine learning models using their morphology and fluorescence features. The performance of the device was demonstrated by measuring Chlamydomonas, Euglena, and non-fluorescent beads in both separate and mixed flow samples. The recall rates for Chlamydomonas and Euglena ware 93.6% and 94.4%. The dual-modality imaging approach enabled observing both morphology and fluorescence features with a large DoF and FoV which contribute to high-throughput analysis. Moreover, this imaging flow cytometer platform is portable, low-cost, and shows potential in the onsite phytoplankton monitoring.

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The Use of Motion Analysis as Particle Biomarkers in Lensless Optofluidic Projection Imaging for Point of Care Urine Analysis

Cited by 8 publications

References 35 publications

Computational Portable Microscopes for Point-of-Care-Test and Tele-Diagnosis

Computational Portable Microscopes for Point-of-Care-Test and Tele-Diagnosis

Complementary Metal-Oxide-Semiconductor-Based Sensing Platform for Trapping, Imaging, and Chemical Characterization of Biological Samples

Dual-Modality Imaging Microfluidic Cytometer for Onsite Detection of Phytoplankton

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