2020
DOI: 10.1038/s41598-020-69362-8
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Focal dynamic thermal imaging for label-free high-resolution characterization of materials and tissue heterogeneity

Abstract: Evolution from static to dynamic label-free thermal imaging has improved bulk tissue characterization, but fails to capture subtle thermal properties in heterogeneous systems. Here, we report a label-free, high speed, and high-resolution platform technology, focal dynamic thermal imaging (FDTI), for delineating material patterns and tissue heterogeneity. Stimulation of focal regions of thermally responsive systems with a narrow beam, low power, and low cost 405 nm laser perturbs the thermal equilibrium. Captur… Show more

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Cited by 7 publications
(5 citation statements)
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References 50 publications
(51 reference statements)
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“…Movable and non‐contact focal dynamic thermal imaging (FDTI) technique has potential of high resolution, label free and high speed in clinical diagnosis for detecting heterogeneity in malignant, benign, and inflammatory tissue. With a low power 405 nm power source and a narrow beam, 3D printed phantoms thermal imaging, mouse in‐vivo, biological tissue ex vivo, as well as rat cancer models confronts diversity of material and distinguishes infected and healthy tissue [ 215 ] (Figure 19d). Contactless FDTI approach enables fast, high‐resolution examination of worrisome lesions and alteration in tissue heterogeneity longitudinally.…”
Section: Applicationsmentioning
confidence: 99%
See 1 more Smart Citation
“…Movable and non‐contact focal dynamic thermal imaging (FDTI) technique has potential of high resolution, label free and high speed in clinical diagnosis for detecting heterogeneity in malignant, benign, and inflammatory tissue. With a low power 405 nm power source and a narrow beam, 3D printed phantoms thermal imaging, mouse in‐vivo, biological tissue ex vivo, as well as rat cancer models confronts diversity of material and distinguishes infected and healthy tissue [ 215 ] (Figure 19d). Contactless FDTI approach enables fast, high‐resolution examination of worrisome lesions and alteration in tissue heterogeneity longitudinally.…”
Section: Applicationsmentioning
confidence: 99%
“…d) Focal dynamic thermal imaging of one rat throughout tumor progression. Reproduced with permission, [ 215 ] Copyright 2022, Springer Nature. e) WIR‐384A uncooled infrared thermal imager.…”
Section: Applicationsmentioning
confidence: 99%
“…Porcine subcutaneous fat [28][29][30][31] Porcine aorta [32][33][34] Absorption coefficient μ a From Figure 15A, we can see that the high temperature is limited in the area of about 1 mm away from the laser action point, and temperature increases at a slower rate as the average power increases, which is because of the higher advancement rate of fiber bundle when porcine subcutaneous fat is irradiated by laser with higher average power and melting point of porcine subcutaneous fat (95 C) [35]. Tissue maximum temperature as a function of irradiation time varying from 2 to 10 s with average power kept at 2.537 W is shown in Figure 15B.…”
Section: Parametersmentioning
confidence: 99%
“…Resolution of Thermal Images [64] 60 × 80 (0.005 MP) [65,66] 160 × 120 (0.019 MP) [67][68][69][70][71][72][73][74][75][76][77][78][79][80] 320 × 240 (0.077 MP) [63,81,82] 320 × 256 (0.085 MP) [83,84] 336 × 256 (0.086 MP) [85,86] 384 × 288 (0.111 MP) [59][60][61][62][87][88][89][90][91][92][93][94] 640 × 480 (0.307 MP) [95,96] 640 × 512 (0.328 MP)…”
Section: Referencementioning
confidence: 99%
“…If a neuron's threshold is reached, i.e., if the sum of the products of the input values with the corresponding synaptic weights is equal to or greater than this value, the output signal of the neurons is produced by an activation function whose prescription is the same for all neurons in a single layer. Within multiple layers, the activation functions may differ, for example, in [72], a three-layer neural network with different activation functions was presented, applying a hyperbolic tangent function for the hidden layer and a linear function for the output layer. In contrast, both Gang et al and Wu chose the same activation function, the standard (logistic) sigmoid function, for the hidden and output layers [104,115].…”
Section: Classification Of Objects In the Irt Imagementioning
confidence: 99%