## 3 Results and Discussion  
We conducted experiments on four different cell lines: ONCO-DG1, HCT-116, MDA-MB-231 and HUVEC. For each cell line, 20 cells were observed for 48 h after treatment with TGF-\(\beta\). After a reconstruction of the depth maps we applied the BM3D-based noise reduction method to decrease the noise due to fluid flow in the dynamic environment. To measure the effectiveness of the noise reduction method, for each observation we captured the culture twice, once with the medium flow and once after the medium flow stopped and the remaining medium was withdrawn from the system. This allowed us to evaluate the noise introduced by the fluid flow. After the observation, the medium flow started again so as not to disturb the dynamic culture. The obtained SNR values for different filtering methods are given in Table 1 for the microbeads and the reference slide and in Table 2 for the cell cultures. It was observed that the best performing noise reduction strategy was the BM3D-based method in all of the cases. Using a Watershed transform-based segmentation method, we resolved the cell depth map from background and show that modified surface structures increase the ability of CTCs to cling to a flat surface and hinders its mesenchymal characteristic. The results obtained by our method clearly shows the morphological transformation of the epithelial cells throughout the EMT phase. During this phase, \begin{table}
\begin{tabular}{l c c c c} \hline \hline  & **Slide without** & **Slide with** & **Beads without** & **Beads with** \\  & **Medium** & **Medium** & **Medium** & **Medium** \\ \hline
**Median filter** & 35.67 & 34.78 & 35.79 & 34.66 \\
**Wiener filter** & 37.78 & 37.23 & 37.90 & 37.12 \\
**Haar** & 37.12 & 35.64 & 37.34 & 35.76 \\
**Daubechies** & 37.89 & 37.89 & 37.92 & 37.02 \\
**Symlets** & 39.12 & 38.56 & 39.19 & 38.43 \\
**Biorthogonal** & 37.96 & 36.54 & 37.88 & 36.34 \\
**Noiselets** & 38.87 & 37.91 & 38.89 & 37.72 \\
**Fresnelet** & 39.45 & 38.03 & 39.25 & 38.23 \\
**Beamlet** & 38.79 & 37.99 & 38.55 & 37.79 \\
**Coiflet** & 38.85 & 37.15 & 39.00 & 37.27 \\
**Discrete Meyer** & 37.75 & 37.04 & 38.14 & 37.14 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: SNR values resulting from the application of different filters to depth maps obtained from microbeads and the reference slide. \begin{table}
\begin{tabular}{l c c c c} \hline \hline  & **HCT-116** & **ONCO-DG-1** & **HUVEC** & **MDA-MB-231** \\ \hline
**Median filter** & 34.67 & 34.62 & 34.86 & 33.80 \\
**Wiener filter** & 36.78 & 36.66 & 36.70 & 35.69 \\
**Haar** & 36.12 & 35.98 & 35.99 & 34.87 \\
**Daubechies** & 36.89 & 36.75 & 36.86 & 35.81 \\
**Symlets** & 38.12 & 37.92 & 38.23 & 37.06 \\
**Biorthogonal** & 36.96 & 36.78 & 37.06 & 36.03 \\
**Noiselets** & 37.87 & 37.76 & 38.05 & 36.92 \\
**Fresnelet** & 38.45 & 38.30 & 38.28 & 37.10 \\
**Beamlet** & 37.79 & 37.67 & 37.81 & 36.63 \\
**Coiflet** & 37.85 & 37.72 & 37.80 & 36.75 \\
**Discrete Meyer** & 36.75 & 36.57 & 36.68 & 35.63 \\
**BM3D filter** & 39.02 & 38.97 & 38.96 & 37.80 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: SNR values resulting from the application of different filters to depth maps obtained from cell cultures. it can be seen that the surface adhesion capability of the cells diminish and morph into a spherical shape. It can also be observed that the mobility of the cells increased due to this transformation. The demonstrated application clearly shows that holographic imaging techniques present valuable information that gives insights into the physiological underlying nature of the behavioral patterns that cancer cells typically undergo. In order to better understand the morphological transformation that occurs during the EMT process, we reconstructed the depth map of the observed cells at 0, 12, 24, 36, and 48 h after treatment with TGF-\(\beta\).