Shodhyantri Engineering Services
Research · Analysis · Editing · Publication Support
Experimental design, assay data processing, statistics, figure preparation and manuscript structuring for molecular, cellular and biomedical science research.
Tell us about your biomedical research support need. We reply within one working day.
Biomedical research support at Shodhyantri helps PhD and Master's scholars in biotechnology, molecular biology, microbiology, biochemistry, biomedical engineering and allied fields turn laboratory output into sound results. We work on experimental design and replication, qPCR, ELISA and Western blot data, cell viability and proliferation assays, imaging quantification, statistics and the structure of thesis chapters and manuscripts. Support can start at design or after data collection.
Laboratory data has its own pitfalls: technical replicates mistaken for biological ones, normalisation done inconsistently, or images adjusted in ways journals reject. We help you avoid these. Your bench work, observations and scientific interpretation remain yours. We bring analytical discipline, statistical correctness and clear presentation so your results can withstand examiner and peer review. You also get clear notes on what was done and why.
Biomedical research investigates biological mechanisms relevant to health and disease, using molecular, cellular, tissue, animal and computational methods. Results usually come from assays with standard curves, reference genes, controls and replicates, and each assay type has expected processing steps before statistics can begin.
Journals in this field increasingly check statistics, image integrity and reproducibility. Many follow guidance such as the MIQE guidelines for qPCR and ARRIVE guidelines for animal studies, and require clear statements of biological replicates and the tests used.
We separate biological from technical replicates so statistics use the right sample size and conclusions are not overstated.
Each assay is processed by its accepted method, such as 4PL curves for ELISA and reference-gene normalisation for qPCR.
Image adjustments follow journal rules: applied equally across the whole image, with original files preserved for review.
Group sizes, distributions and design decide whether t-tests, ANOVA, non-parametric or mixed models are used.
Multi-panel figures use consistent fonts, scale bars and individual data points, which many journals now prefer over bar charts alone.
We help organise results around clear findings, with methods detailed enough for another lab to reproduce the work.
Ten stages, each with a clear output. Nothing moves to the next stage until you have reviewed the last one.
— You review every stage first, then decide —
Positive, negative and vehicle controls are confirmed to behave as expected before results are trusted.
Curve fit, range and sample positions within the linear or quantifiable range are verified.
Reference genes and loading controls are applied identically across all samples and conditions.
Tests are run on biological replicates, with technical replicates averaged first.
Adjustments, crops and splices are reviewed against common journal image integrity rules.
Each legend states sample size, error bar type and statistical test used.
Every stage is shared with notes explaining what was changed and why. You and your supervisor check it, and the next stage starts only after your go-ahead.
| Common problem | How Shodhyantri helps |
|---|---|
| Treating triplicate wells from one sample as three independent biological replicates. | We average technical replicates and run statistics on independent biological replicates, reporting both clearly. |
| Using a single unvalidated reference gene for qPCR normalisation across all conditions. | We discuss reference gene stability and recommend validated or multiple reference genes, following MIQE guidance. |
| Fitting ELISA standards with a straight line across a sigmoid range. | We use four-parameter logistic fitting and confirm sample values fall within the quantifiable range. |
| Adjusting brightness on only part of a blot image. | Adjustments are applied uniformly to the whole image, and originals are kept, as journals require. |
| Running many t-tests across several groups without correction. | We use ANOVA with appropriate post-hoc tests or apply multiple comparison corrections to control false positives. |
| Showing bar charts with SEM error bars without saying what n represents. | Figures show individual points where possible, and legends state n, error bar type and test used. |
Decide what counts as a biological replicate in your system before experiments. It shapes every later analysis.
Store unprocessed microscope and blot images. Journals may request them during review or after publication.
Dot plots or box plots with points reveal spread and sample size better than bar charts alone.
Give exact p-values where possible rather than only stars. Many journals now prefer this.
Record antibody catalogue numbers and dilutions, and cell line sources. Reproducibility depends on these details.
Many journals ask for cell line authentication and mycoplasma testing. Plan for these early in your project.
A consistent Excel layout for each assay makes processing faster and reduces copy-paste errors.
Choosing tests during experimental design avoids underpowered experiments and post-hoc test shopping.
Your work is handled by people who read your field's literature, not by a single generalist.
A PhD-qualified specialist from your field who checks the research logic, gap and contribution.
Handles statistics, models and qualitative coding, and documents every analytical decision.
Improves structure, flow, clarity and academic tone without changing your meaning.
Builds and validates MATLAB, Python, ANSYS or COMSOL work where your study needs it.
Checks grammar, consistency, numbering, citations and the small errors examiners notice.
Applies your university or journal template, reference style and front matter exactly.
No. Experiments must be done by you in your laboratory under your institution's approvals and supervision. We support design, processing, analysis, presentation and writing structure for the data you generate. We can also review protocols before you start to improve replication.
Yes. We calculate delta Ct, delta delta Ct and fold changes, check reference gene behaviour, run statistics on biological replicates and prepare graphs. We also help you report methods following MIQE principles. Melt curve and efficiency issues are flagged where visible.
Yes. We guide densitometry in ImageJ or Fiji, normalise to loading controls, and present results with statistics. We also advise on image integrity practices journals require. Band intensities are normalised consistently across blots, and statistics are run on independent biological replicates rather than lanes.
No. Editors and reviewers decide publication. We help ensure your analysis is correct and your manuscript is clear and well-structured, which improves quality but does not control the outcome. Journal choice and responses to reviewers remain your decisions, and we say plainly that acceptance is never ours to promise.
We support common analyses such as differential expression result interpretation, enrichment analysis presentation and statistics in R. For large sequencing pipelines, we confirm scope and resources before starting. Results are presented with clear plots, such as volcano plots and enrichment charts, suitable for your thesis.
No. We help structure and edit your manuscript, check that methods are reproducible and that figures and statistics are reported correctly. The writing and scientific interpretation remain yours. We check consistency between figures, legends and text, and edit language for clarity without changing your scientific meaning.
We commonly use GraphPad Prism, R, Excel and ImageJ or Fiji, and can work with exports from plate readers, qPCR machines and flow cytometers in standard formats. If your instrument uses a proprietary format, export it to CSV or Excel first, and we will confirm that the data came through intact.
We provide research guidance, statistical analysis, editing, formatting and training support. All research content remains the scholar's own work, in line with UGC and university academic integrity norms. We do not guarantee publication, acceptance, indexing or academic outcomes: journals decide through peer review and universities award degrees.
Share your topic, draft or data. We will tell you honestly what it needs, and what it does not, before you pay anything.