@article{kudenov_krafft_scarboro_doherty_balint-kurti_2023, title={Hybrid spatial-temporal Mueller matrix imaging spectropolarimeter for high throughput plant phenotyping}, volume={62}, ISSN={["2155-3165"]}, DOI={10.1364/AO.483870}, abstractNote={Many correlations exist between spectral reflectance or transmission with various phenotypic responses from plants. Of interest to us are metabolic characteristics, namely, how the various polarimetric components of plants may correlate to underlying environmental, metabolic, and genotypic differences among different varieties within a given species, as conducted during large field experimental trials. In this paper, we overview a portable Mueller matrix imaging spectropolarimeter, optimized for field use, by combining a temporal and spatial modulation scheme. Key aspects of the design include minimizing the measurement time while maximizing the signal-to-noise ratio by mitigating systematic error. This was achieved while maintaining an imaging capability across multiple measurement wavelengths, spanning the blue to near-infrared spectral region (405–730 nm). To this end, we present our optimization procedure, simulations, and calibration methods. Validation results, which were taken in redundant and non-redundant measurement configurations, indicated that the polarimeter provides average absolute errors of (5.3±2.2)×10−3 and (7.1±3.1)×10−3, respectively. Finally, we provide preliminary field data (depolarization, retardance, and diattenuation) to establish baselines of barren and non-barren Zea maize hybrids (G90 variety), as captured from various leaf and canopy positions during our summer 2022 field experiments. Results indicate that subtle variations in retardance and diattenuation versus leaf canopy position may be present before they are clearly visible in the spectral transmission.}, number={8}, journal={APPLIED OPTICS}, author={Kudenov, Michael W. and Krafft, Danny and Scarboro, Clifton G. and Doherty, Colleen J. and Balint-Kurti, Peter}, year={2023}, month={Mar}, pages={2078–2091} } @article{hetzler_wang_krafft_jamalzadegan_overton_kudenov_ligler_wei_2022, title={Flexible sensor patch for continuous carbon dioxide monitoring}, volume={10}, ISSN={["2296-2646"]}, DOI={10.3389/fchem.2022.983523}, abstractNote={Monitoring and measurement of carbon dioxide (CO2) is critical for many fields. The gold standard CO2 sensor, the Severinghaus electrode, has remained unchanged for decades. In recent years, many other CO2 sensor formats, such as detection based upon pH-sensitive dyes, have been demonstrated, opening the door for relatively simple optical detection schemes. However, a majority of these optochemical sensors require complex sensor preparation steps and are difficult to control and repeatably execute. Here, we report a facile CO2 sensor generation method that suffers from none of the typical fabrication issues. The method described here utilizes polydimethylsiloxane (PDMS) as the flexible sensor matrix and 1-hydroxypyrene-3,6,8-trisulfonate (HPTS), a pH-sensitive dye, as the sensing material. HPTS, a base (NaOH), and glycerol are loaded as dense droplets into a thin PDMS layer which is subsequently cured around the droplet. The fabrication process does not require prior knowledge in chemistry or device fabrication and can be completed as quickly as PDMS cures (∼2 h). We demonstrate the application of this thin-patch sensor for in-line CO2 quantification in cell culture media. To this end, we optimized the sensing composition and quantified CO2 in the range of 0–20 kPa. A standard curve was generated with high fidelity (R2 = 0.998) along with an analytical resolution of 0.5 kPa (3.7 mm Hg). Additionally, the sensor is fully autoclavable for applications requiring sterility and has a long working lifetime. This flexible, simple-to-manufacture sensor has a myriad of potential applications and represents a new, straightforward means for optical carbon dioxide measurement.}, journal={FRONTIERS IN CHEMISTRY}, author={Hetzler, Zach and Wang, Yan and Krafft, Danny and Jamalzadegan, Sina and Overton, Laurie and Kudenov, Michael W. and Ligler, Frances S. and Wei, Qingshan}, year={2022}, month={Sep} } @article{kudenov_krafft_scarboro_doherty_balint-kurti_2021, title={Fieldable Mueller matrix imaging spectropolarimeter using a hybrid spatial and temporal modulation scheme}, volume={11833}, ISSN={["1996-756X"]}, DOI={10.1117/12.2593970}, abstractNote={Many correlations exist between spectral reflectance and various phenotypic responses from plants. Of interest to us are structural characteristics; namely, how the various spectral and polarimetric components may correlate to underlying environmental, metabolic, and genotypic differences among plant varieties within a given species. In this paper, we overview a portable Mueller matrix imaging spectropolarimeter that has been optimized for field use. Key aspects to the design included minimizing the measurement time while maximizing signal-to-noise ratio with low systematic errors. These goals must be achieved while maintaining an imaging capability across multiple measurement wavelengths, spanning the blue to near-infrared spectral region. To this end, we will review our optimization procedure, simulations, and experimental results, including preliminary field data taken from our summer 2021 field trials.}, journal={POLARIZATION SCIENCE AND REMOTE SENSING X}, author={Kudenov, Michael W. and Krafft, Danny and Scarboro, Clifton G. and Doherty, Colleen J. and Balint-Kurti, Peter}, year={2021} }