Label-free identification of microplastics in human cells: dark-field microscopy and deep learning study

Ishmukhametov, Ilnur; Nigamatzyanova, Läysän; Fakhrullina, Gölnur; Fakhrullin, Rawil

doi:10.1007/s00216-021-03749-y

Cited by 28 publications

(15 citation statements)

References 93 publications

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“…Pixels in the centre of 1000 nm particles were classified as 500 nm. Generally, the dark-field microscopy coupled with the spectral matching technique allows to identify of particles, differing only in diameter, in the cells [ 23 ].…”

Section: Resultsmentioning

confidence: 99%

“…In this Communication we report our first results on the use of PeakForce Tapping nanomechanical AFM to identify submicron polystyrene particles in cultured human cells. An increasing number of in vitro studies aimed at evaluation of microplastics toxicity require an effective yet simple method to detect particles uptake without any use of fluorescent or other labels [ 23 ]. AFM has already shown its potential for nanoplastics identification in combination with infrared spectroscopy applied for chemical identification of the unknown environmental particles.…”

Section: Discussionmentioning

confidence: 99%

“…Pre-treatment or post-treatment with polymer-targeting fluorescent dyes is essential for visualisation of cellular uptake and intracellular distribution of commercial spherical polystyrene microbeads [ 18 ], whereas label-free techniques utilising infrared [ 19 , 20 ] or Raman [ 21 ] microspectroscopy are mostly reserved for diverse environmental samples, where the chemical composition of the particles analysed is unknown. Recently, label-free detection of polystyrene microplastics by means of reflected light hyperspectral microimaging [ 22 ] and dark-field microscopy along with neural networks [ 23 ] were developed for in vitro and in vivo applications.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Nanomechanical Atomic Force Microscopy to Probe Cellular Microplastics Uptake and Distribution

Akhatova

Ishmukhametov

Fakhrullina

et al. 2022

IJMS

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The concerns regarding microplastics and nanoplastics pollution stimulate studies on the uptake and biodistribution of these emerging pollutants in vitro. Atomic force microscopy in nanomechanical PeakForce Tapping mode was used here to visualise the uptake and distribution of polystyrene spherical microplastics in human skin fibroblast. Particles down to 500 nm were imaged in whole fixed cells, the nanomechanical characterization allowed for differentiation between internalized and surface attached plastics. This study opens new avenues in microplastics toxicity research.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Nanomechanical Atomic Force Microscopy to Probe Cellular Microplastics Uptake and Distribution

Akhatova

Ishmukhametov

Fakhrullina

et al. 2022

IJMS

Self Cite

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show abstract

“…This modified EDHM system can distinguish the pixels of healthy and TSWV-infected plants at early stages before the symptoms are visible, thus facilitating the management and spread of disease [53]. Certainly, combining the capacity of EDHM with recent advances in machine learning will enable new diagnostics and medical imaging to find, classify, and interpret relevant phenomena [54].…”

Section: Discussionmentioning

confidence: 99%

Label-Free Detection of Human Coronaviruses in Infected Cells Using Enhanced Darkfield Hyperspectral Microscopy (EDHM)

Gosavi

Cheatham²,

Sztuba-Solińska

2022

J. Imaging

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Human coronaviruses (HCoV) are causative agents of mild to severe intestinal and respiratory infections in humans. In the last 15 years, we have witnessed the emergence of three zoonotic, highly pathogenic HCoVs. Thus, early and accurate detection of these viral pathogens is essential for preventing transmission and providing timely treatment and monitoring of drug resistance. Herein, we applied enhanced darkfield hyperspectral microscopy (EDHM), a novel non-invasive, label-free diagnostic tool, to rapidly and accurately identify two strains of HCoVs, i.e., OC43 and 229E. The EDHM technology allows collecting the optical image with spectral and spatial details in a single measurement without direct contact between the specimen and the sensor. Thus, it can directly map spectral signatures specific for a given viral strain in a complex biological milieu. Our study demonstrated distinct spectral patterns for HCoV-OC43 and HCoV-229E virions in the solution, serving as distinguishable parameters for their differentiation. Furthermore, spectral signatures obtained for both HCoV strains in the infected cells displayed a considerable peak wavelength shift compared to the uninfected cell, indicating that the EDHM is applicable to detect HCoV infection in mammalian cells.

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“…The technique could thus be an alternative to current spectral-based methods for identifying microplastic particles in living cells and organisms, which are usually very time-consuming. 176 …”

Section: Imaging Techniquesmentioning

confidence: 99%

Optical Microscopy Systems for the Detection of Unlabeled Nanoparticles

Friedrich¹,

Kappes²,

Cicha³

et al. 2022

IJN

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Label-free detection of nanoparticles is essential for a thorough evaluation of their cellular effects. In particular, nanoparticles intended for medical applications must be carefully analyzed in terms of their interactions with cells, tissues, and organs. Since the labeling causes a strong change in the physicochemical properties and thus also alters the interactions of the particles with the surrounding tissue, the use of fluorescently labeled particles is inadequate to characterize the effects of unlabeled particles. Further, labeling may affect cellular uptake and biocompatibility of nanoparticles. Thus, label-free techniques have been recently developed and implemented to ensure a reliable characterization of nanoparticles. This review provides an overview of frequently used label-free visualization techniques and highlights recent studies on the development and usage of microscopy systems based on reflectance, darkfield, differential interference contrast, optical coherence, photothermal, holographic, photoacoustic, total internal reflection, surface plasmon resonance, Rayleigh light scattering, hyperspectral and reflectance structured illumination imaging. Using these imaging modalities, there is a strong enhancement in the reliability of experiments concerning cellular uptake and biocompatibility of nanoparticles, which is crucial for preclinical evaluations and future medical applications.

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Label-free identification of microplastics in human cells: dark-field microscopy and deep learning study

Cited by 28 publications

References 93 publications

Nanomechanical Atomic Force Microscopy to Probe Cellular Microplastics Uptake and Distribution

Nanomechanical Atomic Force Microscopy to Probe Cellular Microplastics Uptake and Distribution

Label-Free Detection of Human Coronaviruses in Infected Cells Using Enhanced Darkfield Hyperspectral Microscopy (EDHM)

Optical Microscopy Systems for the Detection of Unlabeled Nanoparticles

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