Investigation of the high-throughput analytical performance of an FPA-FTIR imaging system
Bibliographic record
Abstract
Focal plane array (FPA) FTIR imaging spectroscopy provides unprecedented levels of spatially resolvable chemical information for analysis of samples at the micrometer scale.This study evaluates the quantitative performance characteristics of the individual detector elements comprising the FPA camera, and applies them to making analytical measurements of a custom designed microfluidic multichannel transmission cell.Statistical descriptions are provided for the response distributions among the FPA's detector elements; RMS noise, peak response, and linear regression parameters.It was found that individual detector elements of the FPA allowed for accurate milliabsorbance measurements, however the variability was large when contrasting detector elements due to FPA detector non-uniformity issues.When applied to the microfluidic multichannel sampling system designed for the monitoring of four fluid streams, it was found that the detector elements covering the fluid stream could be averaged to generate a very repeatable response between streams -thus allowing for milliabsorbance measurements of 4 samples simultaneously with the current design.L'imagerie par spectroscopie IRTF dans la matrice plane focale (MPF) offre des niveaux de rsolution spatiale sans prcdent des informations chimique dans le domaine spatial pour une analyse des chantillons l'chelle du micromtre.L'tude actuelle examine l'ensemble des applications de la spectroscopie IRTF (MPF) avec l'utilisation d'un systme micro-fluidique multicanaux de transmission de cellules conut sur mesure comme une approche potentielle d'une analyse quantitative des chantillons liquides haut dbit.Des descriptions statistiques sont fournies selon la rpartition des rponses parmi ces lments individuels du dtecteur.La rponse des lments individuels du dtecteur dans la MPF a t dmontre comme tant reproductible dans des units de milli absorbance et ainsi, la plus importante variabilit de rponse travers l'ensemble est due aux problmes de non conformit associs la MPF.La moyenne des rponses des lments du dtecteur sur lesquels les rsultats de chaque canal est images dans de bonne reproductibilit inter-canal et ainsi compense de manire satisfaisante la non-uniformit des pixels.Les expriences qui prouvent ce concept impliquant des mesures analytiques sur quatre chantillons visualiss simultanment avec la conception actuel des cellules sont prsentes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".