Andrey V. Kalinichev, Martin R. Rasmussen, Felix L. Hoch, Zuzanna Parnicka, Jacek Fiutowski, Klaus Koren, Casper Kunstmann-Olsen
{"title":"同时多参数化学成像的空间模式网格光电器件","authors":"Andrey V. Kalinichev, Martin R. Rasmussen, Felix L. Hoch, Zuzanna Parnicka, Jacek Fiutowski, Klaus Koren, Casper Kunstmann-Olsen","doi":"10.1021/acssensors.5c02007","DOIUrl":null,"url":null,"abstract":"High-resolution imaging of chemical gradients is critical for studying complex microscale environments, but conventional planar optodes face limitations in simultaneous multiparameter sensing due to spectral crosstalk and signal overlap. Here, we present a modular alternative using grid optodes─arrays of discrete, selectively responsive sensor spots printed in a checkerboard layout via a custom 3D-printed dispensing system. Each spot responds to either oxygen or pH, enabling parallel detection with minimal optical interference and achieving spatial resolution below 650 μm. Optical readout was performed using standard RGB cameras, and multiple spatial interpolation methods were evaluated to reconstruct continuous 2D analyte maps from discrete spot data. Nearest-neighbor interpolation followed by mean filtering provided robust image reconstruction. The grid optodes were validated in structured agar matrices and sulfidic sediment, demonstrating imaging performance comparable to conventional planar optodes. This approach offers a scalable, low-cost platform for high-resolution, multiparameter chemical imaging compatible with accessible RGB detection systems and adaptable to diverse sensing applications.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"12 1","pages":""},"PeriodicalIF":9.1000,"publicationDate":"2025-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatially Patterned Grid Optodes for Simultaneous Multiparameter Chemical Imaging\",\"authors\":\"Andrey V. Kalinichev, Martin R. Rasmussen, Felix L. Hoch, Zuzanna Parnicka, Jacek Fiutowski, Klaus Koren, Casper Kunstmann-Olsen\",\"doi\":\"10.1021/acssensors.5c02007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High-resolution imaging of chemical gradients is critical for studying complex microscale environments, but conventional planar optodes face limitations in simultaneous multiparameter sensing due to spectral crosstalk and signal overlap. Here, we present a modular alternative using grid optodes─arrays of discrete, selectively responsive sensor spots printed in a checkerboard layout via a custom 3D-printed dispensing system. Each spot responds to either oxygen or pH, enabling parallel detection with minimal optical interference and achieving spatial resolution below 650 μm. Optical readout was performed using standard RGB cameras, and multiple spatial interpolation methods were evaluated to reconstruct continuous 2D analyte maps from discrete spot data. Nearest-neighbor interpolation followed by mean filtering provided robust image reconstruction. The grid optodes were validated in structured agar matrices and sulfidic sediment, demonstrating imaging performance comparable to conventional planar optodes. This approach offers a scalable, low-cost platform for high-resolution, multiparameter chemical imaging compatible with accessible RGB detection systems and adaptable to diverse sensing applications.\",\"PeriodicalId\":24,\"journal\":{\"name\":\"ACS Sensors\",\"volume\":\"12 1\",\"pages\":\"\"},\"PeriodicalIF\":9.1000,\"publicationDate\":\"2025-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Sensors\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1021/acssensors.5c02007\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Sensors","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acssensors.5c02007","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
Spatially Patterned Grid Optodes for Simultaneous Multiparameter Chemical Imaging
High-resolution imaging of chemical gradients is critical for studying complex microscale environments, but conventional planar optodes face limitations in simultaneous multiparameter sensing due to spectral crosstalk and signal overlap. Here, we present a modular alternative using grid optodes─arrays of discrete, selectively responsive sensor spots printed in a checkerboard layout via a custom 3D-printed dispensing system. Each spot responds to either oxygen or pH, enabling parallel detection with minimal optical interference and achieving spatial resolution below 650 μm. Optical readout was performed using standard RGB cameras, and multiple spatial interpolation methods were evaluated to reconstruct continuous 2D analyte maps from discrete spot data. Nearest-neighbor interpolation followed by mean filtering provided robust image reconstruction. The grid optodes were validated in structured agar matrices and sulfidic sediment, demonstrating imaging performance comparable to conventional planar optodes. This approach offers a scalable, low-cost platform for high-resolution, multiparameter chemical imaging compatible with accessible RGB detection systems and adaptable to diverse sensing applications.
期刊介绍:
ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.