title: Automatic cell identification and enrichment in lung cancer. I. Light scatter and fluorescence parameters.
abstract: Two physical parameters were investigated to automatically recognize cells in sputum from human squamous cell carcinoma of the lung and to separate them for preparation by the Papanicolaou methods, for human interactive identification and for automated high resolution image analysis. The two parameters, 0.5-15.0 degrees forward argon-ion laser light scatter to estimate total cell size and 546 nm Acridine orange fluorescence to approximate total cell DNA content, were measured in a flow-through fluorescence activated cell sorting system. Enrichment for neoplastic cells in three cases of squamous cell carcinoma of the lung averaged 7.8-fold over the original sputum when only green fluorescence was used and 10.5-fold using green fluorescence and forward light scatter. The average enrichment for neoplastic cells was 65.6-fold relative to polymorphonuclear deenrichment.
mesh_terms: D002294:Carcinoma, Squamous Cell / Q000175:diagnosis*; D003584:Cytological Techniques; D003937:Diagnosis, Differential; D005453:Fluorescence; D006801:Humans; D008027:Light; D008175:Lung Neoplasms / Q000175:diagnosis*; D008297:Male; D012542:Scattering, Radiation; D013183:Sputum / Q000166:cytology; D013194:Staining and Labeling