Hyperspectral imaging and characterization of allergic contact dermatitis in the short‐wave infrared

Du, Tommy; Mishra, Deependra; Shmuylovich, Leonid; Yu, Andy; Hurbon, Helena; Wang, Steven T.; Berezin, Mikhail Y.

doi:10.1002/jbio.202000040

Cited by 12 publications

(14 citation statements)

References 41 publications

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“…FLIM collected datasets were analyzed using IDCube software (HSpeQ LLC, USA) that process 3D spectral data ( 22 ). FLIM raw data were first converted to the IDCube format and processed using a three- band method to generate a pseudo RGB image ( 23 ). The generated image is a composite of the three selected bands (time channels, i.e.)…”

Section: Methodsmentioning

confidence: 99%

Label-Free Macroscopic Fluorescence Lifetime Imaging of Brain Tumors

et al. 2021

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Advanced stage glioma is the most aggressive form of malignant brain tumors with a short survival time. Real-time pathology assisted, or image guided surgical procedures that eliminate tumors promise to improve the clinical outcome and prolong the lives of patients. Our work is focused on the development of a rapid and sensitive assay for intraoperative diagnostics of glioma and identification of optical markers essential for differentiation between tumors and healthy brain tissues. We utilized fluorescence lifetime imaging (FLIM) of endogenous fluorophores related to metabolism of the glioma from freshly excised brains tissues. Macroscopic time-resolved fluorescence images of three intracranial animal glioma models and surgical samples of patients’ glioblastoma together with the white matter have been collected. Several established and new algorithms were applied to identify the imaging markers of the tumors. We found that fluorescence lifetime parameters characteristic of the glioma provided background for differentiation between the tumors and intact brain tissues. All three rat tumor models demonstrated substantial differences between the malignant and normal tissue. Similarly, tumors from patients demonstrated statistically significant differences from the peritumoral white matter without infiltration. While the data and the analysis presented in this paper are preliminary and further investigation with a larger number of samples is required, the proposed approach based on the macroscopic FLIM has a high potential for diagnostics of glioma and evaluation of the surgical margins of gliomas.

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Section: Methodsmentioning

confidence: 99%

Label-Free Macroscopic Fluorescence Lifetime Imaging of Brain Tumors

et al. 2021

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“…Therefore, we believe that the HSI analysis technique may play a role in the investigation of asymptomatic skin change in T2DM patients with sudomotor dysfunction and play a role in clinical application for the early detection of DN. According to the existing literature, the SWIR region (defined as wavelength: 1000-2000 nm) is useful for obtaining additional quantitative information about the composition of biological tissues, which include components such as water, lipid and collagen [50][51][52][53]. Previous studies have found that collagen exhibits a low absorption coefficient near the wavelength of 1050 nm; water exhibits an absorption peak near the wavelength of 1450 nm [50,51,54].…”

Section: Discussionmentioning

confidence: 99%

Assessment of diabetic small‐fiber neuropathy by using short‐wave infrared hyperspectral imaging

Sheen

Sheu

Wang

et al. 2021

Journal of Biophotonics

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Among patients with type 2 diabetes mellitus (T2DM), the association between hyperspectral imaging (HSI) examination and diabetic neuropathy (DN) is ascertained using HSI of the feet using four types of spectral difference measurements. DN was evaluated by traditional Michigan Neuropathy Screening Instrument (MNSI), evaluation of painful neuropathy (ID-Pain, DN4) and sudomotor function by measuring electrochemical skin conductance (ESC). Of the 120 T2DM patients and 20 healthy adults enrolled, T2DM patients are categorized into normal sudomotor (ESC >60 μS)and sudomotor dysfunction (ESC ≤ 60 μS) groups. Spectral difference analyses reveal significant intergroup differences, whereas traditional examinations cannot distinguish between the two groups. HSI waveform reflectance gradually increases with disease severity, at 1400 to 1600 nm. The area under the curve (AUC) of receiver operating characteristic (ROC) analysis for abnormal ESC is ≥0.8 for all four HSI methods. HSI could be an objective, sensitive, rapid, noninvasive and remote approach to identify early small-fiber DN.diabetic neuropathy (DN), electrochemical skin conductance (ESC), hyperspectral imaging (HSI), short-wave infrared (SWIR), type 2 diabetes mellitus (T2DM)

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“…Due to the optical properties of biological tissues, HSI is limited to surfaces, near-surface structures, or samples/tissues of penetrable thicknesses. 1,5,21,38,48,81,[87][88][89][90][91][92][93][94][95] Thus, HSI is not a direct competitor of other medical imaging modalities such as ultrasound, magnetic resonance imaging, or X-rays; it is a complementary or additional technique.…”

Section: Medical Hyperspectral Imagingmentioning

confidence: 99%

“…Initial studies include examples on circulatory changes and skin oxygenation in diabetic feet. 93 Allergic contact dermatitis, burns, and ulcers are more recent examples of HSI of skin 75,93,94 (Fig. 5.5).…”

Section: Medical Hyperspectral Imagingmentioning

confidence: 99%