Research Article | Open Access
Francesca Aredia, Francesca Carpignano, Salvatore Surdo, Giuseppe Barillaro, Giuliano Mazzini, Anna Ivana Scovassi, Sabina Merlo, "An Innovative Cell Microincubator for Drug Discovery Based on 3D Silicon Structures", Journal of Nanomaterials, vol. 2016, Article ID 8236539, 10 pages, 2016. https://doi.org/10.1155/2016/8236539
An Innovative Cell Microincubator for Drug Discovery Based on 3D Silicon Structures
We recently employed three-dimensional (3D) silicon microstructures (SMSs) consisting in arrays of 3 μm-thick silicon walls separated by 50 μm-deep, 5 μm-wide gaps, as microincubators for monitoring the biomechanical properties of tumor cells. They were here applied to investigate the in vitro behavior of HT1080 human fibrosarcoma cells driven to apoptosis by the chemotherapeutic drug Bleomycin. Our results, obtained by fluorescence microscopy, demonstrated that HT1080 cells exhibited a great ability to colonize the narrow gaps. Remarkably, HT1080 cells grown on 3D-SMS, when treated with the DNA damaging agent Bleomycin under conditions leading to apoptosis, tended to shrink, reducing their volume and mimicking the normal behavior of apoptotic cells, and were prone to leave the gaps. Finally, we performed label-free detection of cells adherent to the vertical silicon wall, inside the gap of 3D-SMS, by exploiting optical low coherence reflectometry using infrared, low power radiation. This kind of approach may become a new tool for increasing automation in the drug discovery area. Our results open new perspectives in view of future applications of the 3D-SMS as the core element of a lab-on-a-chip suitable for screening the effect of new molecules potentially able to kill tumor cells.
Most of the knowledge in cancer biology is due to discoveries obtained by setting experimental conditions on two-dimensional (2D) models, which fail to be extrapolated to in vivo conditions due to the three-dimensional (3D) complexity of tissues and organs. To bypass these inconveniences, there is an increasing interest in investigating cell cultures on 3D matrices, which were described as promising tools to monitor cell growth, proliferation, and transformation, thanks to their capability to better mimic the in vivo situation [1–4].
In this perspective, we developed three-dimensional silicon microstructures (3D-SMSs) formed by periodic arrays of parallel ≈3 μm-thick silicon walls separated by ≈5 μm-wide, 50 μm-deep air gaps [5, 6]. We demonstrated that these microdevices are suitable for the culture of human cancer cells [7, 8] in 3D with a proliferation rate similar to the 2D counterpart. Moreover, we provided the evidence that the devices are useful tools for analyzing the mechanical properties/plasticity of different human cancer cell lines, monitoring the spreading of the cells on the wall inside the gaps by means of label-free optical detection method . Focusing on the possible use of microdevices in cancer cell biology, given that cancer still represents a major health problem worldwide requiring the development of more effective strategies, we investigated the behavior of several human tumor cell lines characterized by different biological aggressiveness. We recently provided the original evidence that the behavior of tumor cells on the 3D-SMS depends on their aggressiveness, based on the quantification of the fraction of cells inside the gaps, over the total cell number .
Starting from the assumption that resistance to chemotherapy, a major obstacle for cancer eradication, is mainly related to an intrinsic failure in the activation of the apoptotic pathways of death [11–13], in the present study we have explored 3D-SMS for mimicking the in vivo situation and possibly finding a new tool for drug discovery. The 3D microenvironment will allow, in principle, to obtain results better related to the in vivo condition; of note, in this 3D microenvironment cell proliferation was very similar to that of the conventional 2D condition. Our experimental strategy aimed to exploit a peculiar property of apoptotic cells, related to the changes in cell morphology and adhesion properties [14–17]. In fact, cancer cells growing adherent to a substrate respond to an apoptogenic stimulus by shrinking their volume and modifying their adhesion molecules, thus floating into the medium. In this respect, we previously observed that under stress conditions, for example, extended culture times, cells grown on our 3D-SMS tended to detach from the walls and remain with a round shape on top of the walls . We performed viability experiments aimed at verifying that cells entering the narrow deep gaps were alive at least after 72 h incubation time. This means that these cells were able to explore the vertical silicon walls and grow inside the narrow gaps with sufficient exchange of nutrients and oxygen. Cells were treated with the chemotherapeutic drug Bleomycin according to a previously reported protocol to induce apoptosis in other cancer cell lines [18–20]. In this work, a preliminary evaluation of the apoptosis outcomes on 3D-SMS has been performed by means of conventional fluorescence microscopy analysis and several acquired fluorescence images are here reported as a result of our experiments. In view of future applications of 3D-SMSs as core elements of a lab-on-a-chip suitable for screening the effect of new molecules potentially able to kill tumor cells, we have investigated the possibility to perform label-free cell detection, by exploiting optical reflectometry. In previous works, we demonstrated the functionality of a compact fiber optic (FO) Michelson interferometer for time-domain Optical Low Coherence Reflectometry (OLCR) that exploited infrared (IR) broadband radiation provided by a tungsten lamp for characterizing 3D-SMSs by measuring the optical path-length among several silicon/air interfaces for arrays with different spatial period, that is, 8, 10, and 20 μm [21–23]. In this paper, label-free detection of a cell adherent to the vertical silicon wall, inside the gap, of an 8 μm periodic array is demonstrated with IR OLCR, a minimally invasive technique that could be implemented also on a chip for monitoring cell detachment due to apoptosis.
2. Materials and Methods
2.1. Fabrication of Silicon Microstructures
Three-dimensional silicon microstructures (3D-SMSs) of this work were fabricated by means of electrochemical micromachining technology (ECM), which is detailed in [5, 6, 24]. 3D-SMSs, consisting of vertical ≈3 μm-thick silicon walls periodically separated by 50 μm-deep and ≈5 μm-wide air gaps, were integrated within a circular region (surface area of 0.64 cm2) of a silicon die with size 1.5 cm × 1.5 cm. Electrochemically micromachined silicon dice were cut into two rectangular parts and reduced in size to fit in the wells of 12-well plates exploited during the subsequent cell culturing experiments. A peculiar property of these die consists in the coexistence of planar (2D) as well as three-dimensional supports: on the sides, 3D-SMS has flat silicon regions, similar to glass surfaces used in standard cell culture. This feature provides an intrinsic control for comparing the cell behavior in 2D and 3D, side by side.
2.2. Scanning Electron Microscopy (SEM)
The morphological characterization of the silicon microstructures, after the ECM process (i.e., empty 3D-SMS) as well as after cell culturing (i.e., 3D-SMS populated by cells), was performed by scanning electron microscope (JSM-6390 from JEOL, Inc.) at an acceleration voltage of 3 kV. Figure 1(a) shows a SEM bird view of electrochemically micromachined 3D-SMS highlighting the high quality of the microfabricated structures in terms of both uniformity and low surface roughness. Figure 1(b) presents the SEM cross section view of a single cell cultured directly into a 3D-SMS.
2.3. Cell Culture
Human fibrosarcoma HT1080 cells were grown as monolayer in D-MEM supplemented with 10% Fetal Calf Serum (FCS), 4 mM glutamine, 2 mM Na pyruvate, 100 U/mL penicillin, and 0.1 mg/mL streptomycin. Cells were seeded directly on the silicon dice placed in 12-well plates (5 × 104 cells in 1 mL of medium per well). Plates were incubated at 37°C in a humidified atmosphere containing 5% CO2. Increasing incubation times (until to 72 h) were tested.
Reagents were purchased from Sigma Aldrich, Biowest, and Life Technologies (Milano, Italy).
2.4. Apoptosis Induction
To induce apoptosis, cells were treated with 200 μg/mL Bleomycin for 24 h and 48 h and further incubated in drug-free medium for additional 24 h. The experiments were repeated at least three times in triplicate. Bleomycin was purchased from Sigma Aldrich (Milan, Italy).
2.5. Sample Fixation and Staining
After treatment, silicon was washed in Phosphate Buffered Saline (PBS) and then fixed in cold 70% ethanol for 1 h. After fixation, the devices were washed again in PBS and incubated with RNase solution (1 kUnit/mL) for 30 min at 37°C, another PBS wash was done, and then the samples were stained for 30 min with 1 μg/mL Propidium Iodide (PI) and 1 μg/mL Fluorescein Isothiocyanate (FITC) (both diluted in PBS). Reagents were purchased from Sigma Aldrich, Biowest, and Life Technologies (Milano, Italy).
2.6. Viability Staining
Dedicated experiments were devoted to monitor cell viability over and inside the 3D-SMS. The couple of probes PI and Hoechst 33342 (HO) were employed thanks to their peculiar characteristics: PI does not cross the intact cell membrane (typical of live cell) while HO is permeable to any kind of membrane. Thus, HO labels both viable and dead cells, while PI labels only the dead cell fraction .
2.7. Fluorescence Microscopy Analyses
At the end of the staining procedures samples were analyzed with an epifluorescent microscope BX51 (Olympus) equipped with a mercury arc lamp (Osram HBO 100/2). More details are reported in [7, 8, 10]:(a)For fixed samples to observe both green (FITC) and red (PI) emissions, the blue excitation band was selected by an Interference Band Pass Filter (BP 450–480 nm) and reflected via a Dichroic Mirror (DM 500) whereas the emitted fluorescent light was selected by means of a Barrier Long Pass Filter 515 nm; to observe single red emission, the green excitation band was selected by an Interference Band Pass Filter (BP 530–560 nm) and reflected by a Dichroic Mirror (DM 590) whereas a Barrier Long Pass Filter (LP) 620 nm was used for the selection of the red emission.(b)For viability experiments samples were observed directly immersed in the staining solution with the excitation settings, respectively, with (1) UV by means of a Band Pass Filter (BP 366 nm), Dichroic Mirror (DM 400), and LP 420 nm as Long Pass Filter suitable for the observation of both PI and HO (best for HO) and with (2) GREEN by means of Interference Band Pass Filter (BP 530–560 nm) and reflected by a Dichroic Mirror (DM 590) and a Barrier Long Pass Filter LP 620 nm used for best emission of PI.Sample images were taken at various magnifications (Olympus U Plan Fl objectives 20x with NA of 0.50 and 40x with NA of 0.75) with the Olympus Camedia C-4040 digital camera.
2.8. Instrumental Configuration for Label-Free Optical Detection of Cells
Label-free optical detection of cells grown in the narrow gaps of the SMS was performed by means of infrared optical low coherence reflectometry, shown as a block diagram in Figure 2. An all-fiber Michelson interferometer, reported in detail in [21–23], was implemented using two bidirectional couplers with 50 : 50 splitting ratio and flat spectral response in the wavelength range from 1.2 μm to 1.7 μm, corresponding to the emission band of the Tungsten lamp, used as a readout source. Lamp radiation was launched partly toward the silicon device under test and partly toward a reference translating-mirror and the reflected radiation was coupled back toward the balanced receiver. The analog output signal corresponding to the interferometric fringes is the result of the interference between the fields reflected from the SMS interfaces and the reference mirror. Interferometric fringes were then recorded through an analog to digital (A/D) conversion board with a personal computer. All the experiments were carried out at a room temperature.
3. Results and Discussion
3.1. Cell Culture and Apoptosis Induction
3.1.1. Control Experiments
HT1080 cells were cultured on silicon dice in three independent experiments for 24 h and 48 h incubation times. After incubation the dice were removed from the multiwall plate, washed, fixed, stained, and finally mounted in PBS by means of a standard coverslip. Samples were then observed by fluorescence microscopy (at 20x and 40x magnification), as explained in Section 2.7, in order to evaluate the cell distribution and morphology in the various areas of the silicon die. Figure 3 reports examples of distributions of normal HT1080 cells on flat silicon regions: cells show their peculiar mesenchymal morphology. Cell proliferation rate on flat regions and morphological features and shapes were thoroughly comparable to those detected in standard growing conditions on plastic as well as on glass supports, thus under canonical 2D conditions. Fluorescence images in Figure 4 refer to cells grown on the 3D-SMS: the stretched nuclear shape (red segments) demonstrates the ability of these cells to enter the narrow gaps between silicon walls. Their mesenchymal phenotype ensures great plasticity of the cell bodies and enhanced capability to squeeze inside the narrow gaps for exploiting the vertical surface of the silicon walls. Very few cells remain adherent on top of the walls, showing a standard round nuclear shape. By comparing the cell density on the flat silicon region and on the 3D-SMS, we did not observe any significant difference (except for the stretched shape assumed by cells squeezed inside the gaps) and the proliferation rate is very similar on both regions.
3.1.2. Cell Viability
In our previous works [7, 10], we have already demonstrated that mesenchymal cells are able to enter the narrow gaps of the 3D-SMS thanks to an active process that is peculiar of this cell phenotype, committed to in vivo extreme biomechanical transitions (e.g., intravasation and extravasation). The supravital staining with HO allowed nuclei labeling of the whole cell population grown in the 3D-SMS, inside the gaps, and on top of the silicon walls. On the contrary, the uptake of PI probe occurred only in damaged (dead) cells. In Figure 5 we report fluorescence images taken at 20x (a, c) and 40x (b, d) magnification. All nuclei emit blue fluorescence under UV excitation (a, b) but are characterized by an elongated shape if inside the gaps or by a circular shape if on top of the silicon walls of the 3D-SMS. Green excitation of the same microscope fields (c, d) revealed just a few red spots corresponding to the nuclei of dead cells mainly belonging to cells located on top of the walls and on the surface of the 3D-SMS. We can conclude that the cell population grown inside the gaps of the microstructure is characterized by a high rate of viability.
3.1.3. Apoptosis Induction Experiments
Among the tested incubation times, we show here the results of the 48 h treatment with Bleomycin followed by a further 24 h culture in fresh medium, as this condition provided the most significant and reproducible data. The drug action is evident in terms of both important reduction of the cell density and dramatic change in cell morphology. These phenomena occurred on flat regions (Figure 6) as well as in the 3D-SMS (Figure 7). It is evident that the largest fraction of the damaged population lost the adhesion contact with the support and floated in the medium (acute phase). The surviving cell fraction, and very likely the new generated cells, proliferated in abnormal manner (late phase) as demonstrated by altered morphology. As far as the flat regions are concerned, in Figure 6 both images at 20x (a, b) and 40x (c, d) magnifications demonstrate that the drug removed most of the cells (as compared to the control) and that very few surviving adherent cells are characterized by a quite atypical shape and morphology as normally observed when cells are grown and treated in standard conditions (plastic Petri dishes/flasks or glass coverslips). Figure 7, relative to the effects on the population grown in the 3D-SMS, shows that very few cells were able to survive inside the structure, demonstrating the drug effect even in the deep silicon microspaces. Comparing cell density and morphology, it is possible to conclude that the behavior of drug induced cell damage was very similar, indicating that Bleomycin exerts its proapoptotic effect both on the flat surface (2D) and inside the narrow gaps (3D) colonized by the cells, forcing them to detach and float in the medium.
3.2. Label-Free Detection of a Cell in the Gap by IR OLCR
With our setup, schematically reported in Figure 2, we successfully performed an in-plane characterization by means of horizontal and vertical scans of empty, as-fabricated silicon microstructures by measuring the optical path among several silicon/air interfaces . The interferogram containing information on the optical distance between interfaces was obtained by shining the readout radiation along the -axis, thus perpendicularly to the silicon walls. A typical interferometric signal (filtered and normalized) collected on 8 μm 3D-SMS (before cell culture) is reported as a function of the optical path inside the device in Figure 8. We also applied the Hilbert transform to extract the signal envelope. Several groups of fringes with decreasing amplitude are easily recognized: the peak of every group corresponds to the position of interfaces (air/silicon in Figure 8) crossed by the readout radiation. As it is well known, the optical path-length distance between two consecutive interfaces is given by the following relationship:where is the geometric distance between the considered interfaces and is the group refractive index of the material or fluid present between the same interfaces. For the 8 μm 3D-SMS, the typical value of the optical path-length relative to a single wall is μm (i.e., the distance between the peak of the fringe groups relative to the first and the second interface) whereas for an empty gap μm (i.e., the distance between the peak of the fringe groups relative to the second and the third interface). In the presence of a cell in the gap, adherent to the vertical wall, the measured optical path-length is expected to be greater than .
In order to identify the effect induced by the presence of cells in the gaps, various samples of 3D-SMS were tested by means of IR OLCR, before and after cell culturing, by sequentially changing the measurement position on the target. Preliminary testing of the devices was carried out before any biological treatment, to verify the uniformity of the optical properties of the as-fabricated samples. On dice with cells, reflectometric measurements were performed by scanning the regions where fluorescence monitoring had revealed the presence of cells, deeply grown in the first gap toward the readout beam . As an example, in Figure 9, we indicate the positions relative to a specific silicon micromachined die where we directed the readout beam (perpendicularly to the silicon walls) for collecting the interferometric signals. For an easier comparison of the signals relative to the various positions, we applied the Hilbert transform to extract the envelope, as shown in Figure 10 . The optical path-length of the gap detected in position 7, where a cell was identified inside the gap, is greater than that collected in position 4 relative to an empty gap zone, as better highlighted in the inset. Finally, in Figure 11, we report the optical path-length of the gap and of the silicon wall detected in the various positions as shown in Figure 9. As expected, the wall optical path-length remains constant whereas the gap path-length increases at positions 6 and 7, thus correctly identifying the cell presence.
In this work, we have tested the apoptotic effects of the chemotherapeutic drug Bleomycin on HT1080 human fibrosarcoma cells grown on three-dimensional silicon microstructures with high aspect ratio. The 3D-SMS represents a microenvironment for testing the effectiveness of drugs that is more challenging than standard planar surfaces, ensuring the same proliferation rate and cell viability as in standard culture conditions. The presence of narrow, deep gaps where cells have squeezed their bodies better mimics the in vivo scenery characterized by exiguous interstitial spaces. Considering that, as a major consequence of apoptosis, adherent cells tend to detach from the support where they are cultured, we have demonstrated an innovative method for detecting the presence of cells grown adherent to the vertical silicon walls. This approach will thus be suitable for monitoring the cell detachment typical of apoptosis induced by drug treatments with the same efficacy as the 2D condition, making possible a rapid screening of natural or synthetic drugs on cancer cells based on their potential as proapoptotic agents, thus able to kill cancer cells.
More detailed quantitative investigations will be carried out aimed at clarifying the role of 3D microenvironment in the evaluation of cell sensitivity to anticancer (proapoptotic) drugs. Our preliminary findings (obtained by the visual microscope comparison, thus operator-dependent) seem to refer a similar behavior at least for the concentration and times generally applied in standard (2D) test conditions. It may be speculated that automated (operator independent) quantitative analyses made by means of a lab-on-a-chip system will allow to consider a wider range of concentrations and longer times for drug action. Very likely the cell in the 3D environment is exposed to the drug action quite differently as compared to 2D and perhaps will be sensitive to the damage stimuli in less time and/or at low concentration.
Finally, our innovative approach alternative to fluorescence measurements (which imply cellular toxicity) could be applied to other biomedical conditions characterized by specific cell activities and features, including the identification of CTCs (Circulating Tumor Cells) in blood, based on their peculiar biomechanical properties. In a nutshell, the 3D-SMS we developed through a multidisciplinary cooperation represents a lab-on-a-chip with many possible applications in molecular oncology, combining basic research to the drug discovery field.
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
This work was partially supported by CARIPLO Foundation Grant no. 2011-0308. Francesca Aredia was a Ph.D. student in Genetics, Molecular and Cellular Biology, University of Pavia, Italy.
- Y. Torisawa, H. Shiku, T. Yasukawa, M. Nishizawa, and T. Matsue, “Three-dimensional micro-culture system with a silicon-based cell array device for multi-channel drug sensitivity test,” Sensors and Actuators B: Chemical, vol. 108, no. 1-2, pp. 654–659, 2005.
- J. H. Yeon and J. K. Park, “Microfluidic cell culture systems for cellular analysis,” BioChip Journal, vol. 1, no. 1, pp. 17–27, 2007.
- K. F. Chambers, J. F. Pearson, N. Aziz, P. O'Toole, D. Garrod, and S. H. Lang, “Stroma regulates increased epithelial lateral cell adhesion in 3D culture: a role for actin/cadherin dynamics,” PLoS ONE, vol. 6, no. 4, Article ID e18796, 2011.
- F. Pampaloni and E. H. K. Stelzer, “Three-dimensional cell cultures in toxicology,” Biotechnology and Genetic Engineering Reviews, vol. 26, pp. 117–138, 2009.
- G. Barillaro, S. Merlo, S. Surdo, L. M. Strambini, and F. Carpignano, “Integrated optofluidic microsystem based on vertical high-order one-dimensional silicon photonic crystals,” Microfluidics and Nanofluidics, vol. 12, no. 1–4, pp. 545–552, 2012.
- M. Bassu, S. Surdo, L. M. Strambini, and G. Barillaro, “Electrochemical micromachining as an enabling technology for advanced silicon microstructuring,” Advanced Functional Materials, vol. 22, no. 6, pp. 1222–1228, 2012.
- F. Carpignano, G. Silva, S. Surdo et al., “A new cell-selective three-dimensional microincubator based on silicon photonic crystals,” PLoS ONE, vol. 7, no. 11, Article ID e48556, 2012.
- S. Merlo, G. Barillaro, F. Carpignano et al., “Investigation of cell culturing on high-aspect-ratio, three-dimensional silicon microstructures,” IEEE Journal on Selected Topics in Quantum Electronics, vol. 18, no. 3, pp. 1215–1222, 2012.
- S. Merlo, F. Carpignano, G. Silva et al., “Label-free optical detection of cells grown in 3D silicon microstructures,” Lab on a Chip, vol. 13, no. 16, pp. 3284–3292, 2013.
- G. Mazzini, F. Carpignano, S. Surdo et al., “3D silicon microstructures: a new tool for evaluating biological aggressiveness of tumor cells,” IEEE Transactions on NanoBioscience, vol. 14, no. 7, pp. 797–805, 2015.
- M. Jäättelä, “Escaping cell death: survival proteins in cancer,” Experimental Cell Research, vol. 248, no. 1, pp. 30–43, 1999.
- V. Pavet, M. M. Portal, J. C. Moulin, R. Herbrecht, and H. Gronemeyer, “Towards novel paradigms for cancer therapy,” Oncogene, vol. 30, no. 1, pp. 1–20, 2011.
- V. Giansanti, M. Tillhon, G. Mazzini, E. Prosperi, P. Lombardi, and A. I. Scovassi, “Killing of tumor cells: a drama in two acts,” Biochemical Pharmacology, vol. 82, no. 10, pp. 1304–1310, 2011.
- G. Mazzini, C. Ferrari, and E. Erba, “Dual excitation multi-fluorescence flow cytometry for detailed analyses of viability and apoptotic cell transition,” European Journal of Histochemistry, vol. 47, no. 4, pp. 289–298, 2003.
- S. Elmore, “Apoptosis: a review of programmed cell death,” Toxicologic Pathology, vol. 35, no. 4, pp. 495–516, 2007.
- G. Pattabiraman, E. A. Lidstone, K. Palasiewicz, B. T. Cunningham, and D. S. Ucker, “Recognition of apoptotic cells by viable cells is specific, ubiquitous, and species independent: analysis using photonic crystal biosensors,” Molecular Biology of the Cell, vol. 25, no. 11, pp. 1704–1714, 2014.
- C. Ma, M. Song, Y. Zhang, M. Yan, M. Zhang, and H. Bi, “Nickel nanowires induce cell cycle arrest and apoptosis by generation of reactive oxygen species in HeLa cells,” Toxicology Reports, vol. 1, pp. 114–121, 2014.
- M. Donzelli, R. Bernardi, C. Negri et al., “Apoptosis-prone phenotype of human colon carcinoma cells with a high level amplification of the c-myc gene,” Oncogene, vol. 18, no. 2, pp. 439–448, 1999.
- C. Gorrini, M. Donzelli, A. Torriglia et al., “Effect of apoptogenic stimuli on colon carcinoma cell lines with a different c-myc expression level,” International Journal of Molecular Medicine, vol. 11, no. 6, pp. 737–742, 2003.
- C. R. Ross, G. Ricevuti, and A. I. Scovassi, “The antimicrobial peptide PR-39 has a protective effect against HeLa cell apoptosis,” Chemical Biology and Drug Design, vol. 70, no. 2, pp. 154–157, 2007.
- F. Carpignano, G. Rigamonti, and S. Merlo, “Characterization of rectangular glass microcapillaries by low-coherence reflectometry,” IEEE Photonics Technology Letters, vol. 27, no. 10, pp. 1064–1067, 2015.
- F. Carpignano, S. Surdo, G. Barillaro, and S. Merlo, “Silicon micromachined device testing by infrared low-coherence reflectometry,” Journal of Microelectromechanical Systems, vol. 24, no. 6, pp. 1960–1964, 2015.
- G. Rigamonti, S. Merlo, and F. Carpignano, “Rectangular glass micro-capillaries for biophotonic applications,” in Proceedings of the Fotonica AEIT Italian Conference on Photonics Technologies, IET Conference Proceedings, pp. 1–4, IEEE, Turin, Italy, May 2015.
- S. Merlo, G. Barillaro, F. Carpignano et al., “Fibrillogenesis of human β2-microglobulin in three-dimensional silicon microstructures,” Journal of Biophotonics, vol. 5, no. 10, pp. 785–792, 2012.
Copyright © 2016 Francesca Aredia et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.