Continuous Perfusion Experiments on 3D Cell Proliferation in Acoustic Levitation.

An acoustofluidic trap is used for accurate 3D cell proliferation and cell function analysis in levitation. The prototype trap can be integrated with any microscope setup, allowing continuous perfusion experiments with temperature and flow control under optical inspection. To describe the trap function, we present a mathematical and FEM-based COMSOL model for the acoustic mode that defines the nodal position of trapped objects in the spherical cavity aligned with the microscope field of view and depth of field. Continuous perfusion experiments were conducted in sterile conditions over 55 h with a K562 cell line, allowing for deterministic monitoring. The acoustofluidic platform allows for rational in vitro cell testing imitating in vivo conditions such as cell function tests or cell-cell interactions.

Smartphone-based colorimetric detection system for portable health tracking.

Colorimetric tests for at-home health monitoring became popular 50 years ago with the advent of the urinalysis test strips, due to their reduced costs, practicality, and ease of operation. However, developing digital systems that can interface these sensors in an efficient manner remains a challenge. Efforts have been put towards the development of portable optical readout systems, such as smartphones. However, their use in daily settings is still limited by their error-prone nature associated to optical noise from the ambient lighting, and their low sensitivity. Here, a smartphone application (Colourine) to readout colorimetric signals was developed on Android OS and tested on commercial urinalysis test strips for pH, proteins, and glucose detection. The novelty of this approach includes two features: a pre-calibration step where the user is asked to take a photo of the commercial reference chart, and a CIE-RGB-to-HSV color space transformation of the acquired data. These two elements allow the background noise given by environmental lighting to be minimized. The sensors were characterized in the ambient light range 100-400 lx, yielding a reliable output. Readouts were taken from urine strips in buffer solutions of pH (5.0-9.0 units), proteins (0-500 mg dL-1) and glucose (0-1000 mg dL-1), yielding a limit of detection (LOD) of 0.13 units (pH), 7.5 mg dL-1 (proteins) and 22 mg dL-1 (glucose), resulting in an average LOD decrease by about 2.8 fold compared to the visual method.

Scleral Lens Sensor for Ocular Electrolyte Analysis.

The quantitative analysis of tear analytes in point-of-care settings can enable early diagnosis of ocular diseases. Here, a fluorescent scleral lens sensor is developed to quantitatively measure physiological levels of pH, Na+ , K+ , Ca2+ , Mg2+ , and Zn2+ ions. Benzenedicarboxylic acid, a pH probe, displays a sensitivity of 0.12 pH units within pH 7.0-8.0. Crown ether derivatives exhibit selectivity to Na+ and K+ ions within detection ranges of 0-100 and 0-50 mmol L-1 , and selectivities of 15.6 and 8.1 mmol L-1 , respectively. A 1,2 bis(o-aminophenoxy)ethane-N,N,-N',N'-tetraacetic-acid-based probe allows Ca2+ ion sensing with 0.02-0.05 mmol L-1 sensitivity within 0.50-1.25 mmol L-1 detection range. 5-Oxazolecarboxylic acid senses Mg2+ ions, exhibiting a sensitivity of 0.10-0.44 mmol L-1 within the range of 0.5-0.8 mmol L-1 . The N-(2-methoxyphenyl)iminodiacetate Zn2+ ion sensor has a sensitivity of 1 µmol L-1 within the range of 10-20 µmol L-1 . The fluorescent sensors are subsequently multiplexed in the concavities of an engraved scleral lens. A handheld ophthalmic readout device comprising light-emitting diodes (LEDs) and bandpass filters is fabricated to excite as well as read the scleral sensor. A smartphone camera application and an user interface are developed to deliver quantitative measurements with data deconvolution. The ophthalmic system enables the assessment of dry eye severity stages and the differentiation of its subtypes.

Measuring fluorescence-lifetime and bio-impedance sensors for cell based assays using a network analyzer integrated circuit.

Cell culture assays for therapeutic drug screening today are fully automated. Vitality of the cells is monitored by different sensors. For such a system, we propose a new reader unit, which is capable of reading two different fluorescent sensors and electrical impedance in 24-well-plates. Main goals are to reduce cost, complexity and size while achieving a similar performance as the existing reader unit. To achieve this, measurement electronics and signal paths for frequency domain fluorescence and bio-impedance measurement are combined. Central component is an integrated circuit for impedance spectroscopy. A new compact and economic optical setup is developed to read two different sensor spots on the bottom of the well. Measurement errors introduced by different components like DFT leakage, and frequency dependent signal delays are evaluated and compensated. A set of commercially available fluorescence sensor spots is used to verify the read out performance. The results are usable, with noise slightly higher than commercial readers. To verify the impedance measurement accuracy, measurements of known resistances are conducted. In the relevant impedance and frequency range for biological applications a suitable accuracy is achieved. Due to the higher sampling rate of the new reader, the higher noise can be reduced through averaging. The new system is significantly smaller and cheaper to manufacture than commercially available devices.

Data Processing in Cellular Microphysiometry.

GOAL: This contribution points out the need for well-defined and documented data processing protocols in microphysiometry, an evolving field of label-free cell assays. The sensitivity of the obtained cell metabolic rates toward different routines of raw data processing is evaluated. METHODS: A standard microphysiometric experiment structured in discrete measurement intervals was performed on a platform with a pH- and O 2-sensor readout. It is evaluated using three different data evaluation protocols, based on A) fast Fourier transformation of such dynamics, B) linear regression (LIN) of pH(t) and O2(t) dynamics, and C) numerical simulation (SIM) with a subsequent fitting of dynamics for parameter estimation. RESULTS: We propose a sequence of well documented steps for an organized processing of raw sensor data. Figures of merit for the quality of raw data and the performance of data processing are provided. To estimate metabolic rates, a reaction-diffusion modeling approach is recommended if the necessary model input parameters such as the distribution of the active biomass, sensor response time, and material properties are available. CONCLUSION: The information about cellular metabolic activity contained by measured sensor data dynamics is superimposed by manifold sources of error. Careful consideration of data processing is necessary to eliminate these errors as much as possible and to avoid an incorrect interpretation of data.

Estimation of dynamic metabolic activity in micro-tissue cultures from sensor recordings with an FEM model.

We estimated the dynamic cell metabolic activity and the distribution of the pH value and oxygen concentration in tissue samples cultured in vitro by using real-time sensor records and a numerical simulation of the underlying reaction-diffusion processes. As an experimental tissue model, we used chicken spleen slices. A finite element method model representing the biochemical processes and including the relevant sensor data was set up. By fitting the calculated results to the measured data, we derived the spatiotemporal values of the pH value, the oxygen concentration and the absolute metabolic activity (extracellular acidification and oxygen uptake rate) of the samples. Notably, the location of the samples in relation to the sensors has a great influence on the detectable metabolic rates. The long-term vitality of the tissue samples strongly depends on their size. We further discuss the benefits and limitations of the model.

In-vivo cell and tissue monitoring with active implants.

Active implant systems are becoming increasingly important in modern medicine. We describe the development of an implantable system for the monitoring of dissolved oxygen. Tissue oxygen saturation plays a leading role in many pathophysiological processes in the human body such as the growth of malignant tumors or the viability of transplanted organs. The implant allows monitoring the tissue oxygenation in vivo with a wireless interface to an external device. An improved self-calibration technique is described to minimize sensor drift with electrochemical sensors in vivo for a better long term stability of the implant system. The sensor was coated with a hydrogel membrane to avoid convection artifacts during calibration procedure.

Reaction-diffusion modelling for microphysiometry on cellular specimens.

Using modeling and simulation, we quantify the influence of spatiotemporal dynamics on the accuracy of data obtained from sensors placed in microscaled reaction volumes. The model refers to cellular reaction (i.e. proton extrusion and oxygen consumption) in complex, buffering solutions. Whole cells or viable tissues cultured in such devices are monitored in real time with integrated sensors for pH and dissolved oxygen. A 3D finite element model of diffusion and metabolic reaction was set up. With respect to pH, the effect of buffering species on proton diffusion is analysed in detail. To account for the delayed time response of real sensors, the sensor impulse response time was implemented by linear convolution. A validation of the model has been achieved by an electrochemical approach. The model reveals significant deviations of measured pH and O2, and values of these parameters actually occurring at different sites of the cell culture volume. It is applicable to any setting of (bio-) sensors involving reaction and diffusion of dissolved gases and particularly H(+) ions in buffered solutions.

Sensor-based cell and tissue screening for personalized cancer chemotherapy.

Personalized tumor chemotherapy depends on reliable assay methods, either based on molecular "predictive biomarkers" or on a direct, functional ex vivo assessment of cellular chemosensitivity. As a member of the latter category, a novel high-content platform is described monitoring human mamma carcinoma explants in real time and label-free before, during and after an ex vivo modeled chemotherapy. Tissue explants are sliced with a vibratome and laid into the microreaction chambers of a 24-well sensor test plate. Within these ~23 µl volume chambers, sensors for pH and dissolved oxygen record rates of cellular oxygen uptake and extracellular acidification. Robot-controlled fluid system and incubation are parts of the tissue culture maintenance system while an integrated microscope is used for process surveillance. Sliced surgical explants from breast cancerous tissue generate well-detectable ex vivo metabolic activity. Metabolic rates, in particular oxygen consumption rates have a tendency to decrease over time. Nonetheless, the impact of added drugs (doxorubicin, chloroacetaldehyde) is discriminable. Sensor-based platforms should be evaluated in explorative clinical studies for their suitability to support targeted systemic cancer therapy. Throughput is sufficient for testing various drugs in a range of concentrations while the information content obtained from multiparametric real-time analysis is superior to conventional endpoint assays.

Determination of dynamic doxorubicin-EC50 value in an automated high-content workstation for cellular assays.

To overcome the problems of endpoint tests routinely required for EC50 determination, we utilized a novel automated high-content workstation and calculated a time-resolved EC50 value of MCF-7 mamma carcinoma cells treated with a pharmacologic agent. Measuring parameters were the cellular oxygen consumption and the extracellular acidification. These parameters were detected in real-time and label free with optochemical sensor spots in a modified 24-well sensor plate. In particular, the objective was to compare the measuring data of the workstation with a classical standard resazurin cell assay and to transfer the benefit of continuously recorded metabolic data of the workstation to practical time-resolved information about the effect of the applied active reagent (doxorubicin). MCF-7 cells were treated with a broad range of doxorubicin concentrations (100 µM to 1 nM) over 24 h and cellular activities were investigated with both, the resazurin assay and the automated workstation. Twenty-four hours after treatment, the resazurin assay showed an EC50 value (6.3 µM) which was about one decade above the value obtained from oxygen consumption rate (0.37 µM) and extracellular acidification rate (0.72 µM), measured with the workstation. Presumably, the differences are due to the different metabolic nature and regulation behind these measuring parameters. By polynomial fitting of continuously recorded metabolic data, we were able to point out a dynamic, time-resolved EC50 characteristic for different time points. The workstation is a powerful tool to record in vitro kinetic data of pharmacologic effects in vital cells in an automated experimental run.

Cellular signaling: aspects for tumor diagnosis and therapy.

Cells are organic microsystems with functional compartments interconnected by complex signal chains. Intracellular signaling routes and signal reception from the extracellular environment are characterized by redundancy, i.e., parallel pathways exist. If a cell is exposed to an external "signal input", the signal processing elements within the cell provide a response that will be a pattern of reactions manifest as a metabolic, morphologic or electric "signal output". Cell-chip hybrid structures are miniaturized analytical systems with the capability to monitor such cell responses in real time and under continuous control of the environmental conditions. A system analysis approach gives an idea of how the biological component of these hybrid structures works. This is exemplified by the putative role of the microenvironmental pH as a parameter of the utmost importance for the malignant "mode" of tumor cells, which can be monitored and modeled on such hybrid structures.

Multiparametric sensor-chip based technology for monitoring metabolic activity: A proof-of-principle study with live tissue.

The recent development of an electronic test system based on silicon sensor-chips allows the continuous parallel recording of relative changes in extracellular acidification, oxygen consumption and electric impedance in living cells. The objective of this proof-of-principle study therefore, was to clarify whether this system can also be applied to live tissue slices thus providing a device for an ultimately envisioned chemosensitivity testing apparatus for individualized treatment schemes in cancer therapy. A prototype of the testing apparatus equipped with six individual measuring devices has been used to simultaneously analyze changes in extracellular acidification, oxygen consumption and electronic impedance in live liver tissue and compared to data obtained from a tumor cell line. In contrast to tumor cells, tissue slices showed low rates of extracellular acidification but high rates of oxygen consumption. Monitoring of electrical impedance values, reflecting cellular morphology, revealed that the compact cell structure of the tissue slices was able to function as electric insulator and actively change the impedance values of the system. Exposure of tumor cells to 1 microM cytochalasin B, a fungal metabolite known to interact with the cytoskeleton and influence glucose metabolism, resulted in the rapid decline of extracellular acidification, increased oxygen consumption rates and increased values in capacitance. In tissue slices upon addition of 1 microM cytochalasin B, a decline of both extracellular acidification and electrical impedance was observed within 1 h. Determination of ATP content in the tissue slices revealed that decreasing ATP content paralleled diminishing oxygen consumption. This new technique offers the possibility of generating metabolic profiles for cells and tissues by studying oxygen consumption, extracellular acidification and electrical impedance.

Electric cell-substrate impedance sensing with screen printed electrode structures.

Impedance sensors in thick film technology have been tested as a tool for electric cell-substrate impedance sensing. The screen printed Pt electrodes have a width of 250-400 microm. Electrodes and the surrounding ceramic chip substrate could be homogeneously grown with L-929 and Hela cells. The performance of a screen printed interdigitated electrode structure (IDES) was compared with that of thin film structures with the same layout geometry. The thick film impedance sensors allowed to correctly record the morphological response of confluent Hela cell layers to stimulation with histamine. A thick film conductivity sensor also revealed impedance values which were dependent on cell growth on the electrode surface, even at a very low frequency range of approximately 1 Hz.

Analysis of drug action on tumor cell metabolism using electronic sensor chips.

Chemotherapeutic drugs affect the metabolism of tumor cells regardless of the specific target of action. Basic parameters of cell metabolism are extrusion of acids into the microenvironment and oxygen consumption. To analyze these changes on living cells in real-time, a test system based on multiparametric chips with an array of sensors for monitoring pH and O(2) as well as electric impedance has been developed. Cells are cultivated on these chips and supplied with medium by a fluid perfusion set-up which mimics microphysiological conditions and allows for drug addition and removal. Human colon carcinoma cells LS174T were used as a model to test the effect of drugs. Cells growing on chips were monitored for 24 h and longer. Untreated cells showed a continuous increase in the rate of acidification, while the rate of respiration remained fairly constant. Addition of chloroacetaldehyde (50 microM) rapidly attenuated O(2) consumption with a gradual decrease in acidification following. In contrast, with cisplatin (16.7 microM) a delayed and gradual decrease in both the rates of acidification and respiration effect occurred over 2-3 days. These results provide insights to the mechanisms of action of these drugs, which are coherent with those already known. Thus, multiparametric sensor chips provide elementary information on drug action.

[Chips instead of mice: cells on bioelectronic sensor-chips as an alternative to animal experiments]. / Chips statt Mäuse: Zellen auf bioelektronischen Sensorchips als Alternative zu Tierversuchen.

An alternative assay for replacing animal experiments should serve the specific microphysiological needs of the cells and be endowed with multiparametric signal monitoring. These requirements are provided by a test system in which the key elements are biocompatible electronic sensor-chips. It is also connected to a medium perfusion set-up, which allows to control the supply of nutrients and test compounds, and the removal of culture medium. The chips are equipped with sensors that continuously monitor basic metabolic parameters and membrane-associated changes of living cells: pH-ISFETs for extracellular acidification, amperometric O2-sensors for oxygen consumption, and IDES for electrical impedance of the cell layer. Experiments with LS174T colon carcinoma cells in culture show the metabolic and electrical changes upon incubation with Zytochalasin B and chloroacetaldehyde. The signal patterns vary and indicate different mechanisms of action for these test compounds. With this test system it is possible to detect effects of unknown substances and mixtures, and to analyse the cellular probe for prolonged times.

Relevance of tumor microenvironment for progression, therapy and drug development.

Tumor interstitium exhibits a microenvironment that differs from corresponding normal tissues. Tumor phenotype shows, for example, an elevated intracellular pH (pHi), a lowered extracellular pH (pHe), a low oxygen concentration and low glucose levels. These differences are caused by cell biological (so called intrinsic) factors, e.g. a higher acidification rate, as well as by more systemic (extrinsic) factors, e.g. poor tumor vascularization. They represent important factors for invasiveness, immune suppression and proliferation, and they imply possibilities for diagnosis, prognosis and therapy. We have developed an experimental data-based computer model, which has simulated the potential role of metabolic effects on tumor progression. We show an experiment on cellular metabolism demonstrating the immunosuppressive impact of low pHe on peripheral blood mononuclear cells. Finally, we review important findings on the tumor microenvironment leading to possibilities for therapy which are currently evolving and which promise higher effectiveness for cancer therapy.

Microphysiological testing for chemosensitivity of living tumor cells with multiparametric microsensor chips.

A constraint in the reliability of predictive chemosensitivity assays is linked to the fact that they analyze only a single cellular or biochemical parameter. A multiparametric test system using microsensor chips has been developed which can detect online microphysiological changes in living cells. Tumor cells were grown directly on glass- or silicon-based electronic sensor chips. Changes in extracellular pH and pO(2), reflecting metabolic activities, and changes in impedance, reflecting morphological properties, were monitored. In this study, colon and breast cancer cells as well as doxorubicin-sensitive and doxorubicin-resistant sarcoma cell lines were exposed to cytochalasin B, chloroacetaldehyde, or doxorubicin. Results show (1) reduction in medium acidification, (2) marked and rapid changes in O(2) consumption, and (3) modulations in impedance correlating with morphological changes observed in the microscope. Drug-resistant cells do not show these changes. Therefore, this microphysiological monitoring is a versatile tool for chemosensitivity testing of tumor cells.

Multiparametric sensor chips for chemosensitivity testing of sensitive and resistant tumor cells.

Many different assays have been developed for testing the chemosensitivity of tumor cells in vitro, usually based on a single biochemical or cellular parameter. A multiparametric test system has been developed that accommodates on a single chip numerous sensors for metabolic parameters, deltapH and deltapO2, as well as for morphological changes. The cells grow directly on the chips and can be continuously monitored online up to several days. The effects of various chemotherapeutic drugs on the metabolic profile of several tumor cell lines have been investigated. In colon carcinoma-derived LS174T cells, cytochalasin B markedly increased oxygen consumption while decreasing the rate of extracellular acidification. These effects, which reflect the biochemical action of cytochalasin B, were reversible on drug removal. In contrast, chloroacetaldehyde markedly reduced respiration, which recovered when the drug was removed. Primary breast cancer cells also responded to chloroacetaldehyde with a marked reduction in deltapO2, followed by a reduced rate of acidification. Comparing the metabolism of doxorubicin-sensitive and -resistant mouse sarcoma S180 cells, the rates of acidification and respiration were inhibited by doxorubicin only in the sensitive cells, whereas in the resistant cells oxygen consumption even increased. These examples demonstrate that this chip-based test system provides rapid and important information for assessing chemosensitivity of tumor cells.