DRAQ5 and Eosin (‘D&E’) as an Analog to Hematoxylin and Eosin for Rapid Fluorescence Histology of Fresh Tissues - Fig 6

<p>D&E (A) of an intact prostate large core needle biopsy with adenocarcinoma and a 4 <i>υ</i>m H&E (B) section from the same tissue. D&E (C) and H&E (D) of infiltrating prostatic adenocarcinoma (yellow box) adjacent to normal prostatic glands (black arrows).</p

DRAQ5 and Eosin (‘D&E’) as an Analog to Hematoxylin and Eosin for Rapid Fluorescence Histology of Fresh Tissues - Fig 1

<p>Fluorescent eosin channel (A, B). Fluorescent DRAQ5 channel (C, D). Fluorescent composite of D&E (E, F, K). Fluorescent D&E image pseudocolored to resemble H&E (G, H, L). The brightfield H&E of the corresponding histology (I, J, M).</p

D&E and H&E images from frozen tissue sections.

<p>D&E (A) and H&E (B) of renal medullary tubules. D&E (C) and H&E (D) of colonic crypts. D&E (E, F) and H&E at (G, H) of outer pleural surface of lung with prominent elastic lamina (yellow arrow). D&E (I) and H&E (J) of lung showing pulmonary artery branch (red arrow) with terminal bronchiole (green arrow) and alveolar macrophages (black arrow).</p

D&E and H&E images from FFPE tissue sections.

<p>D&E (A) and H&E (B) of lung parenchyma and small pulmonary artery branch with blood clot (arrow). D&E (C) and H&E (D) of bronchus with mucus plug (arrow). D&E (E) and H&E (F) of thyroid follicles. D&E (G) and H&E (H) of cirrhotic liver showing ductular reaction. D&E (I) and H&E (J) of liver with a cirrhotic nodule (arrow) and surrounding ductular reaction. D&E (K) and H&E (L) of prostate glands with corpora amylacea (arrow).</p

Patient Demographics.

<p>This table includes the demographics of the patients enrolled in the study and used for model development. The patients are divided into two groups based on ICU admission type (trauma or cardiothoracic surgical intervention). Key demographics include: percentage of male patients, age, and BMI.</p>*<p>Values presented as Mean ± SD.</p

The main menu of the developed Electronic Clinical Intensive Data-Logger (eCIDL).

<p>This main menu contains buttons that link the user to various interfaces which contain text fields and drop-down menus to log all medical records present in the comprehensive intensive care unit medical record. This software application was utilized to convert paper-based medical records into electronic records suitable for direct neural network model utilization.</p

Glycemic predictions generated by neural network model.

<p>Glycemic predictions generated by neural network model.</p

Clarke Error Grid Predictions demonstrating 97.5% clinically acceptable predictive values.

<p>Clarke Error Grid Predictions demonstrating 97.5% clinically acceptable predictive values.</p

Neural network model design.

<p>The feed-forward neural network design implemented for real-time prediction of glucose. Error (mean squared error) is calculated between neural network output and desired response (actual continuous glucose monitoring values). This error is back propagated to each layer in the neural network architecture and a gradient descent with momentum algorithm is implemented to determine optimal weight values to minimize model error.</p