CELL-IMAGING REVIEW WORKSHEET Updated September 16, 2026 | Yenra Guide: https://yenra.com/biomedical-testing/ Purpose: record the information needed to interpret a cell-imaging result. Complete one sheet per biological comparison. Mark unknown information as unknown and identify who or what document can resolve it. This is a research review aid; use the facility's validated procedures for laboratory work. 1. QUESTION AND DESIGN Biological question and expected measurement: Specimen/cell type and relevant identifiers: Independent biological unit and number of independent replicates: Conditions, time points, positive/negative controls: Plate layout, processing batches and acquisition order: 2. IMAGES AND ANALYSIS Original-image location and acquisition metadata: Channels, exposure, objective and pixel scale: Software/version, pipeline/settings, model version if used: Object definition (nucleus, cell, other) and segmentation checks: Representative overlays from each condition reviewed: Background, focus, saturation, illumination and cell-loss checks: Prespecified exclusions and actual exclusions with reasons: 3. DENOMINATORS AND RESULTS Accepted total cell count per well/sample: Positive cell count and definition of positive: Positive fraction (%) = 100 x positive count / accepted total count. If total count is zero, the fraction is undefined; do not report zero percent. Summaries across independent replicates, uncertainty and exclusions: Effect size and sensitivity to plausible analysis settings: FICTIONAL EXAMPLE (two wells; not sufficient biological replication) Control: 200 positive / 1000 accepted cells = 20%. Treated: 120 positive / 400 accepted cells = 30%. Difference: 10 percentage points; positive-cell count falls by 80 cells. Check cell loss, viability-related evidence and segmentation before assigning a biological explanation. Compare independent replicates next. 4. CONCLUSION AND NEXT STEP What the measurement establishes: What remains uncertain: Independent confirmation or other follow-up needed: PRIMARY METHODS REFERENCES https://www.ncbi.nlm.nih.gov/books/NBK100913/ https://www.ncbi.nlm.nih.gov/books/NBK126174/ https://tutorials.cellprofiler.org/