Study of the Spatio-Chemical Heterogeneity of Tannin-Furanic Foams: From 1D FTIR Spectroscopy to 3D FTIR Micro-Computed Tomography by Nicola Cefarin, Diana E. Bedolla, Artur Surowka, Sandro Donato, Thomas Sepperer, Gianluca Tondi, Diego Dreossi, Nicola Sodini, Giovanni Birarda, Lisa Vaccari

“…Thanks to the implementation of the acquisition and processing pipeline of FTIR-μCT, we were able for the first time to demonstrate that the polymer formulations influence the spatial organization of the foam at the microscale and, at the same time, prove the reliability of FTIR-μCT data by comparing 2D FTIR images and the projection of the 3D chemical images on the same plane.…”
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Nondestructive Estimation of Moisture Content, pH and Soluble Solid Contents in Intact Tomatoes Using Hyperspectral Imaging by Anisur Rahman, Lalit Mohan Kandpal, Santosh Lohumi, Moon S. Kim, Hoonsoo Lee, Changyeun Mo, Byoung-Kwan Cho

“…The full wavelengths were used to create chemical images by applying regression coefficients resulting from the best PLS regression model. …”
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Exposing intracellular molecular changes during the differentiation of human-induced pluripotent stem cells into erythropoietin-producing cells using Raman spectroscopy and imaging by Mika Ishigaki, Hirofumi Hitomi, Yukihiro Ozaki, Akira Nishiyama

“…Raman imaging successfully visualized chemical images of these three biomarkers in two dimensions, where the biomarker concentrations independently varied during cell differentiation. …”
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Synchrotron-Based X-ray Photoelectron Microscopy of LMO/LAGP/Cu Thin-Film Solid-State Lithium Metal Batteries by Majid Kazemian, Matteo Amati, Luca Gregoratti, Maya Kiskinova, Benedetto Bozzini

“…The present investigation focusses on a thin-film LMO (Lithium-Manganese-Oxide)/LAGP (LiAlGe Phosphate)/Copper, anodeless Lithium-metal battery and explores the morphochemical evolution of the electrode/electrolyte interfaces with synchrotron-based Scanning Photoelectron Microscopy (SPEM) of intact pristine and cycled cells. Chemical images were acquired with submicrometer resolution, to highlight the coupled geometrical and chemical-state changes caused by electrochemical ageing. …”
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Evaluation of Oil-Absorbing Film for Imprint Desorption Electrospray Ionization Mass Spectrometry Imaging (IDESI-MSI) on Biological Samples by Jiedong Li, Ruolun Wei, Yifan Meng, Richard N. Zare

“…Imprint Desorption Electrospray Ionization Mass Spectrometry Imaging (IDESI-MSI) has proven to be a robust and reliable tool for chemically imaging biological samples such as fungi, animal tissues, and plants, but the choice of the imprint substrate is crucial. …”
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2-D chemical structure image-based in silico model to predict agonist activity for androgen receptor by Myeong-Sang Yu, Jingyu Lee, Yongmin Lee, Dokyun Na

“…Validation on a test dataset showed MCC of 0.370, sensitivity of 0.211, specificity of 0.991, PPV of 0.882, and overall accuracy of 0.801. Our chemical image-based prediction model outperforms conventional models based on numerical features. …”
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Laboratory Microprobe X-Ray Fluorescence in Plant Science: Emerging Applications and Case Studies by Eduardo S. Rodrigues, Marcos H. F. Gomes, Nádia M. Duran, João G. B. Cassanji, Tatiana N. M. da Cruz, Analder Sant’Anna Neto, Susilaine M. Savassa, Eduardo de Almeida, Hudson W. P. Carvalho

“…Different elements were analyzed in several situations of agronomic interest: (i) Examples of μ-XRF yielding quantitative maps that reveal the spatial distribution of zinc in common beans (Phaseolus vulgaris) primed seeds. (ii) Chemical images daily recorded at a soybean leaf (Glycine max) infected by anthracnose showed that phosphorus, sulfur, and calcium trended to concentrate in the disease spot. …”
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Non-destructive prediction of protein contents of soybean seeds using near-infrared hyperspectral imaging by Aulia, Rizkiana, Kim, Yena, Zuhrotul Amanah, Hanim, Muhammad Akbar Andi, Arief, Kim, Haeun, Kim, Hangi, Lee, Wang-Hee, Kim, Kyung-Hwan, Baek, Jeong-Ho, Cho, Byoung-Kwan

“…In addition, the chemical images visualised the distribution of protein content for the multiple soybean seed showed the possibility of the developed technique for the use of rapid evaluation of massive samples in the processing line.…”
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Jan Davidsz. de Heem (1606–1684): a technical examination of fruit and flower still lifes combining MA-XRF scanning, cross-section analysis and technical historical sources by Nouchka De Keyser, Geert Van der Snickt, Annelies Van Loon, Stijn Legrand, Arie Wallert, Koen Janssens

“…SEM–EDX analysis of a limited number of paint cross-sections complemented the chemical images with local and layer-specific information on the microscale, providing more accuracy on the layer sequence and enabling the study of elements with a low atomic number for which the non-invasive technique is less sensitive. …”
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Multisensor hyperspectral imaging approach for the microchemical analysis of ultramarine blue pigments by M. González-Cabrera, K. Wieland, E. Eitenberger, A. Bleier, L. Brunnbauer, A. Limbeck, H. Hutter, C. Haisch, B. Lendl, A. Domínguez-Vidal, M. J. Ayora-Cañada

“…Our results highlight the usefulness of fusing chemical images obtained via different imaging techniques to obtain relevant information on chemical structure and properties.…”
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Spermidine and other functional phytochemicals in soybean seeds: Spatial distribution as visualized by mass spectrometry imaging by Tatsuya Sagara, Dhaka Ram Bhandari, Bernhard Spengler, Johann Vollmann

“…Mature soybean seeds were subject to atmospheric‐pressure scanning‐microprobe matrix‐assisted laser desorption/ionization (AP‐SMALDI) combined with a Fourier‐transform orbital trapping mass spectrometer to generate high‐resolution chemical images of phytochemical distribution. Based on seed cross sections, differential distributions of functional components were found between soybean cotyledon and germ (shoot, hypocotyl, root) regions. …”
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Soft exchanges for interaction design by Farah, Kamal (Kamal Cristobal)

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DECIMER-Segmentation: Automated extraction of chemical structure depictions from scientific literature by Kohulan Rajan, Henning Otto Brinkhaus, Maria Sorokina, Achim Zielesny, Christoph Steinbeck

“…Here, we present DECIMER (Deep lEarning for Chemical IMagE Recognition) Segmentation, the first open-source, deep learning-based tool for automated recognition and segmentation of chemical structures from the scientific literature. …”
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Multispectral Fluorescence Imaging Technique for On-Line Inspection of Fecal Residues on Poultry Carcasses by Youngwook Seo, Hoonsoo Lee, Changyeun Mo, Moon S. Kim, Insuck Baek, Jayoung Lee, Byoung-Kwan Cho

“…Our results demonstrated that for the spectral data analysis, both the PCA and PLS-DA can distinguish the high and low feces-contaminated area from normal skin; however, the PCA analysis based on selected band ratio images (F630 nm/F600 nm) exhibited better visualization and discrimination of feces-contaminated area, compared with the PLS-DA-based developed chemical images. A color image analysis using histogram equalization, sharpening, median filter, and threshold value (1) demonstrated 78% accuracy. …”
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Insights into surface chemistry down to nanoscale: An accessible colour hyperspectral imaging approach for scanning electron microscopy by James F. Nohl, Nicholas T.H. Farr, Yige Sun, Gareth M. Hughes, Nicola Stehling, Jingqiong Zhang, Fodio Longman, Gemma Ives, Zuzana Pokorná, Filip Mika, Vikas Kumar, Lyudmila Mihaylova, Chris Holland, Serena A. Cussen, Cornelia Rodenburg

“…Chemical imaging (CI) is the spatial identification of molecular chemical composition and is critical to characterising the (in-) homogeneity of functional material surfaces. …”
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Visualizing wax ester fermentation in single Euglena gracilis cells by Raman microspectroscopy and multivariate curve resolution analysis by Keita Iwasaki, Asuka Kaneko, Yuji Tanaka, Takahiro Ishikawa, Hemanth Noothalapati, Tatsuyuki Yamamoto

“…First, by univariate approach, we identified Raman markers corresponding to paramylon/esters and constructed their time-lapse chemical images. However, univariate analysis is severely limited in its ability to obtain detailed information as several molecules can contribute to a Raman band. …”
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Near-Infrared Hyperspectral Imaging (NIR-HSI) for Nondestructive Prediction of Anthocyanins Content in Black Rice Seeds by Hanim Z. Amanah, Collins Wakholi, Mukasa Perez, Mohammad Akbar Faqeerzada, Salma Sultana Tunny, Rudiati Evi Masithoh, Myoung-Gun Choung, Kyung-Hwan Kim, Wang-Hee Lee, Byoung-Kwan Cho

“…Additionally, the obtained beta coefficients from the developed model were used to generate seed chemical images for predicting anthocyanins in rice seed. …”
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