Visualization of Apoptotic Cells using Scanning Acoustic Microscopy and High Frequency Ultrasound
Bibliographic record
Abstract
<p></p><p>The goal of this project is to investigate changes in the acoustical properties of cells undergoing cell death for the development of a method for tissue apoptosis detection using high frequency ultrasound (10-60 MHz). A scanning acoustic microscope (SAM) was used for visualization of individual cells undergoing apoptosis (SASAM, Fraunhofer IBMT, Germany). The use of the SAM offers high resolution (1 μm spot size) and therefore enables the exploration of acoustical properties of the cell nucleus. Cells were labeled with H33342 and DIOC 3(5) for visualizing condensed chromatin and membranes in fluorescence microscopy. In addition the same cell lines interrogated microscopically were investigated using high frequency ultrasound. Recorded radio frequency (rf) data were analyzed using ultrasound spectroscopy. Integrated backscatter coefficients and attenuation values were computed for two cell lines: HeLa and MDCK. Both cell lines responded to the applied chemotherapeutic agent by apoptosis, assessed by fluorescence microscopy. Acoustical and optical microscopy using the SASAM system clearly enabled a differentiation between apoptotic cells and cells not responding to the treatment. Apoptotic cells displayed a higher contrast in the acoustic images and were less regular in shape. Optical images of the same cells showed nuclear condensation and membrane disruption. Spectral parameters estimated from rf ultrasound showed a 100% increase in the integrated backscatter coefficients for HeLa and MDCK. Attenuation values were increased by 50% to 70% for both cell lines as a function of treatment time. The results of this investigation provide a better understanding of changes in the acoustical properties of cells with cell death and thus to the development of a non-invasive method for measuring the treatment response of tumors using acoustic waves. </p><p></p>
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".