ライフサイエンスコーパス: hyperspectral imaging

1 like chemically-assisted photobleaching and hyperspectral imaging.

2 the way for the development of computational hyperspectral imaging.

3 d rehydration behaviours using near-infrared hyperspectral imaging.

4 ature of TMD polaritons with scanning-cavity hyperspectral imaging.

5 ings has been determined using near infrared hyperspectral imaging.

6 ks were identified using cathodoluminescence hyperspectral imaging.

7 This can be achieved by hyperspectral imaging.

8 rated fatty acids can be detected using CARS hyperspectral imaging.

9 r spatial inhomogeneity with the help of the hyperspectral imaging.

10 root and shoot, as indicated by optical and hyperspectral imaging.

11 elopment, principles and applications of NIR hyperspectral imaging.

12 salmon fillets using near-infrared (Vis-NIR) hyperspectral imaging.

13 including conventional color photography and hyperspectral imaging.

14 Hyperspectral imaging, a powerful remote sensing tool, h

15 Hyperspectral imaging-a technique that combines the high

16 ates the impact of algorithmic processing of hyperspectral imaging acquisitions on the sensitivity an

17 One of these promising methods is hyperspectral imaging, an approach that detects lesions

18 We conducted hyperspectral imaging analysis and successfully modelled

19 lueberry (Bluecrop, Jersey, and Liberty) for hyperspectral imaging analysis, firmness measurement, an

20 challenges imposed by sensitive narrow-band hyperspectral imaging and achieve robust determination o

21 cles in the leaves were visually detected by hyperspectral imaging and atomic force microscopy-infrar

22 the cookies after baking using Near Infrared hyperspectral imaging and Chemometrics.

23 n in multiple locations were evaluated using hyperspectral imaging and compared with results from sta

24 o as Optical Recognition of Constructs Using Hyperspectral Imaging and Detection (ORCHID).

25 aps of tissue oxygenation were acquired with hyperspectral imaging and disruptions in blood supply we

26 g micro-Fourier transform infrared (mu-FTIR) hyperspectral imaging and machine learning tools.

27 s a complete methodology using near infrared hyperspectral imaging and machine learning.

28 R: Metabolic Evaluation through Phasor-based Hyperspectral Imaging and Organelle Recognition.

29 e our approach in two niche implementations: hyperspectral imaging and ultrafast imaging.

30 ion in crucial applications such as sensing, hyperspectral imaging, and optical spectrometry, banking

31 based optics toward applications in sensing, hyperspectral imaging, and quantum information technolog

32 cal images, including color camera scanning, hyperspectral imaging, and X-ray computed tomography ima

33 numerous food matrices, NI spectroscopy and hyperspectral imaging are financially preferred in the f

34 Thus, near infrared hyperspectral imaging arises as an attractive strategy f

35 Near infrared hyperspectral imaging arises as an attractive strategy f

36 This work demonstrates the value of hyperspectral imaging as a correlated trait for investig

37 ure simultaneously dissolved iron and DRP by hyperspectral imaging at a submillimeter resolution.

38 hat overcomes the IR diffraction limit in IR hyperspectral imaging by employing a modulated IR beam a

39 nhances the practicability of intraoperative hyperspectral imaging by providing a dynamic, video-like

40 hyperspectral reporters (HSRs) designed for hyperspectral imaging cameras that are commonly mounted

41 Hyperspectral imaging can be adapted to measure and map

42 Here, secondary electron hyperspectral imaging can be exploited for direct imagin

43 a combination of plasmonic dimer probes and hyperspectral imaging can be used to detect and quantify

44 Hyperspectral imaging can be used to distinguish signals

45 Our findings indicate that hyperspectral imaging combined with machine learning met

46 The generalization ability of hyperspectral imaging combined with neural networks (NN)

47 With a novel combination of hyperspectral imaging, confocal laser scanning microscop

48 cumulation in trichomes was identified using hyperspectral imaging, confocal microscopy and laser-abl

49 l topology can be used to analyze a ToF-SIMS hyperspectral imaging data set and identify spectral sim

50 the cost of generating large scale, complex hyperspectral imaging data sets.

51 rect sinusoidal interference fringes from IR hyperspectral imaging data.

52 nd customisable solution to gather and share hyperspectral imaging data.

53 Moisture mapping by hyperspectral imaging demonstrated that the high and low

54 Visible-reflectance hyperspectral imaging demonstrates (1) a significant dec

55 enhanced dark-field microscopy combined with hyperspectral imaging (DF-HSI).

56 Hyperspectral imaging enables many versatile application

57 Hyperspectral imaging enables rapid, non-destructive det

58 ded images at near video rate, time-resolved hyperspectral imaging facilitates monitoring renal blood

59 els by using intravital bright-field images, hyperspectral imaging, fluorescence recordings of direct

60 To highlight the potential of hyperspectral imaging for animal coloration studies, we

61 In this study, we evaluated high-throughput hyperspectral imaging for quantification of rice grain q

62 Hyperspectral imaging from vegetation was collected week

63 Near infrared hyperspectral imaging has been applied to grape seeds in

64 Hyperspectral imaging has been used to classify red grap

65 Hyperspectral imaging has gained popularity for analysin

66 els, while advances in camera frame-rate and hyperspectral imaging have made data acquisition rates o

67 Our results show that hyperspectral imaging holds promise as a reliable and ra

68 ped a novel fluorescence excitation-scanning hyperspectral imaging (HSI) approach to sample image and

69 , these results demonstrate the potential of Hyperspectral Imaging (HSI) as an effective tool for rea

70 Hyperspectral imaging (HSI) combines Near-infrared (NIR)

71 Hyperspectral imaging (HSI) enables visualisation of mor

72 Recent advancements in hyperspectral imaging (HSI) for early disease detection

73 This study investigates the potential of hyperspectral imaging (HSI) for mapping cryptogamic vege

74 We herein tested whether hyperspectral imaging (HSI) generated data from bile duc

75 To overcome this, Hyperspectral imaging (HSI) has been reported for estima

76 Retinal hyperspectral imaging (HSI) is a non-invasive in vivo ap

77 Hyperspectral imaging (HSI) is a noninvasive optical mod

78 Hyperspectral imaging (HSI) is being explored in endosco

79 Hyperspectral imaging (HSI) removes this limitation by a

80 Hyperspectral imaging (HSI) shows significant promise in

81 ransmission optical microscope fitted with a hyperspectral imaging (HSI) spectrometer.

82 It combines an advanced hyperspectral imaging (HSI) system, to collect visible r

83 Two lab-scale hyperspectral imaging (HSI) systems were employed for mo

84 Aim of our study was to test a non-invasive Hyperspectral Imaging (HSI) technique as an intraoperati

85 Hyperspectral imaging (HSI) techniques are useful for ob

86 e were non-destructively characterized using hyperspectral imaging (HSI) technology along with conven

87 ted framework using quantitative morphology, hyperspectral imaging (HSI), and machine learning to dis

88 echniques, nuclear magnetic resonance (NMR), hyperspectral imaging (HSI), e-tongue and e-nose combine

89 Here we take advantage of hyperspectral imaging (HSI), which records full-spectrum

90 e present study aimed to evaluate the use of hyperspectral imaging (HSI)-NIR spectroscopy to assess t

91 ied cocoa beans at a single bean level using hyperspectral imaging (HSI).

92 ntify thin layers of organic materials using hyperspectral imaging (HSI).

93 t can be used for CH(4) quantification using hyperspectral imaging (HSI).

94 VI a versatile imaging technique such as the hyperspectral imaging (HSI).

95 on-destructive analytical approach, based on hyperspectral imaging in the near-infrared region (HSI-N

96 We have used a calibrated, wide-field hyperspectral imaging instrument to obtain absolute spec

97 tical and flexible roadmap for incorporating hyperspectral imaging into future studies of animal colo

98 s an increasing demand to extend the optical hyperspectral imaging into the nanometer length scale.

99 Hyperspectral imaging is a common approach for quantific

100 It was demonstrated that hyperspectral imaging is a potential tool for determinin

101 Electron paramagnetic resonance (EPR) hyperspectral imaging is a powerful technique able to ch

102 Hyperspectral imaging is a widely used technology for in

103 Hyperspectral imaging is poised to become the gold stand

104 of multivariate curve resolution, with Raman hyperspectral imaging is presented herein as a potential

105 hemia, evaluated by laser Doppler as well as hyperspectral imaging, limited blood flow and lowered ti

106 This is done using near infrared hyperspectral imaging, machine learning methodologies an

107 Here, we present a hyperspectral imaging method to measure local optical ba

108 da) imaging system that leverages a snapshot hyperspectral imaging method, image mapping spectrometry

109 With this hyperspectral imaging method, we were able to observe th

110 ed an intuitive color-coding scheme based on hyperspectral imaging methods to generate a single overv

111 A multivariate hyperspectral imaging (MHI) instrument has been designed

112 We used medical hyperspectral imaging (MHSI) to investigate the haemoglo

113 istration of the data cubes from these three hyperspectral imaging modalities enabled the comparison

114 Using hyperspectral imaging, multispectral photography, micros

115 Near-infrared hyperspectral imaging (NIR HSI) was employed to visualiz

116 Near-infrared hyperspectral imaging (NIR HSI) was employed to visualiz

117 investigated the potential of near-infrared hyperspectral imaging (NIR-HSI) for the prediction of ac

118 Near-infrared hyperspectral imaging (NIR-HSI) has been proposed as a p

119 work, near infrared spectroscopy (NIRS) and hyperspectral imaging (NIR-HSI) were investigated to qua

120 The use of Near Infrared-Hyperspectral Imaging (NIR-HSI), together with machine l

121 e peels was investigated using near infrared hyperspectral imaging (NIR-HSI).

122 ain spectroscopy (THz-TDS) and near-infrared hyperspectral imaging (NIR-HSI).

123 ethod utilizes highly sensitive fluorescence hyperspectral imaging of a sample area to detect potenti

124 Here we study ground hyperspectral imaging of artificial light sources as a c

125 , verified and used high-definition infrared hyperspectral imaging of cartilage sections at physiolog

126 se of these properties for high-sensitivity, hyperspectral imaging of chemical domains in 100-nm-thic

127 n this study, we explored the application of hyperspectral imaging of Fusarium-infected wheat kernels

128 We performed ~40-nanometer-resolution hyperspectral imaging of indium phosphide nanowires via

129 Paleolimnological data [e.g., chronology, hyperspectral imaging of sedimentary green pigments, and

130 Hyperspectral imaging of transgenic mouse Abeta plaque s

131 Conversely, hyperspectral imaging offers a rapid, non-destructive me

132 Here we present a hyperspectral imaging platform that integrates a Penaliz

133 NIR hyperspectral imaging provides NIR spectral data as a se

134 Here we describe a hyperspectral imaging routine for distinguishing multipl

135 We provide guidance on running hyperspectral imaging routines for various experimental

136 Alternatively, application of a novel, hyperspectral imaging scanner and multivariate curve res

137 new ultra-compact spectrometers and low-cost hyperspectral imaging sensors in mid-infrared region.

138 rn-up and radiotoxicity at discharge, as the hyperspectral imaging setup allows multiple (> 20) sampl

139 use with X-ray images, visible near-infrared hyperspectral imaging spectroscopy, and p-XRF (portable

140 pose of this study was to develop and test a hyperspectral imaging system (900-1700 nm) to predict in

141 corded at harvest time using a near infrared hyperspectral imaging system (900-1700 nm).

142 ripening were recorded using a near infrared hyperspectral imaging system (900-1700 nm).

143 rm is a novel combination of a near-infrared hyperspectral imaging system coupled with a conventional

144 We characterize a visible reflectance hyperspectral imaging system for noninvasive, in vivo, q

145 eloped a pushbroom visible and near-infrared hyperspectral imaging system in the wavelength range of

146 We report use of a novel hyperspectral imaging system utilizing digital light pro

147 To implement these techniques on a hyperspectral imaging system, we developed a spectral sh

148 ing back-reflected light from tissues to the hyperspectral imaging system.

149 re imaged with a fundus camera attached to a hyperspectral imaging system.

150 This study aimed to use the hyperspectral imaging technique as a non-destructive too

151 The results showed that Vis-NIR hyperspectral imaging technique combined with PLSR calib

152 ce a novel noninvasive, visible-reflectance, hyperspectral imaging technique for quantifying the perc

153 In this work, we report a super-resolution hyperspectral imaging technique that uses a nanoscale wh

154 In this study a near-infrared (NIR) hyperspectral imaging technique was investigated for non

155 The energy resolution in hyperspectral imaging techniques has always been an impo

156 Hyperspectral imaging techniques such as matrix-assisted

157 also accelerate the in-field applications of hyperspectral imaging technology.

158 spectroscopy-with visible and near infrared hyperspectral imaging, the mural's composition across a

159 Combined with the recent advances in hyperspectral imaging, this suggests exciting new possib

160 , we explore the efficacy and limitations of hyperspectral imaging to elucidate multi-phase dolomitiz

161 terface-Time of Flight-Mass Spectrometry and Hyperspectral Imaging to elucidate the geographical info

162 This study applied hyperspectral imaging to predict volatile compounds in s

163 However, applications of hyperspectral imaging to questions about the ecology and

164 the utility of persistent synoptic longwave hyperspectral imaging to study the ongoing leakage of re

165 the far-field, e.g., for classification and hyperspectral imaging, to nanoscale PTIR spectra.

166 el distances from the excitation source; (2) hyperspectral imaging using tunable filter; and (3) digi

167 lysis in which metabolomics is combined with hyperspectral imaging via machine learning.

168 present contribution, visible-near infrared hyperspectral imaging (Vis-NIR-HSI) combined with a nove

169 The potential of Visual-NIR hyperspectral imaging (VNIR-HSI, 425-1700 nm) to predict

170 The present study demonstrated that hyperspectral imaging was a useful tool for non-destruct

171 ts indicate that machine learning with Raman hyperspectral imaging was able to spatially resolve HPV

172 NIR hyperspectral imaging was evaluated to classify maize ke

173 ernating least-squares (MCR-ALS), with Raman hyperspectral imaging was used to determine the molecula

174 Furthermore, by using hyperspectral imaging, we chemically dissected the layer

175 Employing hyperspectral imaging, we find that the lowest-energy ex

176 The results obtained with hyperspectral imaging were compared with known experimen

177 d by multifrequency imaging is comparable to hyperspectral imaging while reducing imaging times 20-fo

178 DLP Hyperspectral Imaging with active spectral illumination

179 de dermoscope that combines polarization and hyperspectral imaging with an efficient analytical model

180 Hyperspectral imaging with enhanced darkfield microscopy

181 By combining the use of portable Hyperspectral Imaging with Near Infrared photography a s

182 We combined hyperspectral imaging with optical-interference modeling

183 We combine hyperspectral imaging with real-time in situ photolumine

184 es this critical point by combining advanced hyperspectral imaging with self-referencing and measurem

185 IR throughput considerably, making nanoscale hyperspectral imaging within a reasonable time frame pos