Quantifying the chemical composition of unstained intact tissue and cellular samples with high spatio-temporal resolution in three dimensions would provide a step change in cell and tissue analytics critical to progress the field of cell biology. Label-free optical microscopy offers the required resolution and noninvasiveness, yet quantitative imaging with chemical specificity is a challenging endeavor. In this work, we show that hyperspectral coherent anti-Stokes Raman scattering (CARS) microscopy can be used to provide quantitative volumetric imaging of human osteosarcoma cells at various stages through cell division, a fundamental component of the cell cycle progress resulting in the segregation of cellular content to produce two progeny. We have developed and applied a quantitative data analysis method to produce volumetric three-dimensional images of the chemical composition of the dividing cell in terms of water, proteins, DNAP (a mixture of proteins and DNA, similar to chromatin), and lipids. We then used these images to determine the dry masses of the corresponding organic components. The attribution of proteins and DNAP components was validated using specific well-characterized fluorescent probes, by comparison with correlative two-photon fluorescence microscopy of DNA and mitochondria. Furthermore, we map the same chemical components under perturbed conditions, employing a drug that interferes directly with cell division (Taxol), showing its influence on cell organization and the masses of proteins, DNAP, and lipids.

Quantitative determination of the chemical composition of unstained samples, non-invasively, with high three- dimensional spatio-temporal resolution, will accelerate progress in cell biology. The current state of the art in bioimaging is dominated by either chemically non-specific or invasive methods. In this work, we demonstrate label-free, non-invasive quantitative volumetric imaging of human osteosarcoma cells using coherent anti-Stokes Raman scattering microscopy. A data analysis method developed in-house was applied to represent the chemical composition of the cells as volumetric three-dimensional images indicating water, proteins, DNAP (mixture of DNA and proteins), and lipids, and to determine the dry masses of the organic components with picogram resolution.