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Plant Disease Detection Using Imaging Sensors, Deep Learning and Machine Learning for Smart Farming
Published in Punit Gupta, Dinesh Kumar Saini, Rohit Verma, Healthcare Solutions Using Machine Learning and Informatics, 2023
Chanchal Upadhyay, Hemant K Upadhyay, Sapna Juneja, Abhinav Juneja
Spectral sensors are usually classified on the basis of the quantity and dimension of the measured waveform and non-imaging sensorb system. Multispectral sensors, which are the best-known spectral sensors, particularly analyze the spectral data of elements in many relatively wide waves. Multispectral imaging cameras, for example, can access information in R, G and B waves. Multispectral sensors are used in drone-based agricultural mapping and analytics (Singh et al., 2020).
Optical Imaging
Published in George C. Kagadis, Nancy L. Ford, Dimitrios N. Karnabatidis, George K. Loudos, Handbook of Small Animal Imaging, 2018
Because CLI has essentially the same acquisition geometry as planar BLI, there is a lack of information on the depth of the radioisotope source. As with bioluminescence, there are two approaches for reconstructing the source term S(x) in the appropriate inverse problem model. First, multispectral imaging using filters exploits the fact that Cerenkov photons at different wavelengths will experience different absorption. Using multispectral imaging with planar imaging can provide limited depth information. Spinelli et al. have translated depth estimation methods for planar imaging in a semi-infinite medium from BLI (Kuo et al. 2007) to CLI (Spinelli et al. 2010, 2011b; Spinelli and Boschi 2012). A more detailed treatment of the relevant physics for Cerenkov production and detection can be found in the study of Das et al. (2014).
Modelling and analysis of skin pigmentation
Published in Ahmad Fadzil Mohamad Hani, Dileep Kumar, Optical Imaging for Biomedical and Clinical Applications, 2017
Ahmad Fadzil Mohamad Hani, Hermawan Nugroho, Norashikin Shamsudin, Suraiya H. Hussein
Multispectral imaging (MSI) is an imaging technology, which measures light intensities at many spectral bands. It is able to provide the average light intensity spatially at spectral bands of wavelengths ranging from 320 to 1000 nm [23]. Spectrophotometry similarly measures average light intensity at spectral bands from visible to near-infrared but of a point area.
Spatial profiling technologies and applications for brain cancers
Published in Expert Review of Molecular Diagnostics, 2021
Priyakshi Kalita-de Croft, Habib Sadeghi Rad, Harry Gasper, Ken O’Byrne, Sunil R Lakhani, Arutha Kulasinghe
NanoString GeoMxTM Digital Spatial Profiler (DSP) is a nondestructive technique capable of in-depth RNA/protein expression profiling [39]. Using oligonucleotide detection technology, the DSP platform provides highly multiplexed RNA/protein quantification with spatial resolution down to a few cells from fixed or fresh frozen tissues [40]. After tissue preparation, samples are incubated with visualization markers (e.g. pan-cytokeratin, CD8, and CD3) and conjugated with oligonucleotide tags [41]. This is followed by a selection of Regions of interest (ROIs) which are defined by the user to demarcate the tissue architecture [41]. Finally, oligo tags are released by ultraviolet (UV) exposure from discrete regions and are then subject to nanostring counting/sequencing to create a spatially resolved profile of the analyte abundance [41]. The technology has several advantages, including user-defined ROI analysis and multispectral imaging [42]. The DSP can also eliminate the need for chemical stripping, which is a downside of other multi-color IHC techniques, by using a UV-photocleavable signal. Taken together, by providing high-plex and high-throughput RNA/protein spatial profiling, the DSP platform will therefore be an important addition to current single-staining IHC methods in clinical diagnostics [42]. One of the challenges has been to get single-cell resolution compatibility, which is currently in development with the spatial molecular imager (SMI) to be released in 2021.
Advances in quantitative immunohistochemistry and their contribution to breast cancer
Published in Expert Review of Molecular Diagnostics, 2020
Vesal Yaghoobi, Sandra Martinez-Morilla, Yuting Liu, Lori Charette, David L. Rimm, Malini Harigopal
There are a few existing techniques to amplify signal from multiplex Immunofluorescence staining such as Multiplex modified hapten-based, Tyramide signal amplification [62–66], and Nanocrystal quantum dots [67–73]. These techniques do not allow for very high-resolution immunofluorescence staining, although they are helpful by allowing the use of single-species antibodies (Tyramide signal amplification and Multiplex modified hapten-based), by increasing the number of multiplex channels from 5 to 7 (Tyramide signal amplification). The key advantage of Multispectral imaging techniques is that they diminish autofluorescence and create more spectrally distinguishable colors. While quantum dots initially looked very promising, high background due to nonspecific interactions with tissue ultimately limited the value of this approach and it is not currently commonly used. Another newer technology called Phosphor-Integrated Dots (PID) seems promising [74], but has not yet been exhaustively tested.
Characteristics of punctate inner choroidopathy complicated by choroidal neovascularisation on Multispectral Imaging in comparison with other imaging modalities
Published in Ocular Immunology and Inflammation, 2022
Jie Zhang, Minfang Zhang, Wangbin Ouyang, Fang Wang, Shiying Li
Multispectral imaging (MSI) is another emerging imaging technology that uses multiple discrete light-emitting diodes (LEDs) as light sources, ranging from the visible to near infrared. It has been reported to aid diagnosis and management of chorioretinal diseases by allowing for visualization of retinal and choroidal vasculature without intravenous dye injection required for standard FA.9 Furthermore, with the ability of sensitively detecting RPE atrophy and melanin disruption secondary to chorioretinal abnormal lesions, MSI may be a promising tool to noninvasively monitor the pathological evolution of PIC lesions, complementary to SD-OCT and angiographic studies.10 Herein, we present the MSI findings of eight patients diagnosed with PIC complicated by CNV.